Christopher G. Brinton

283 papers A* 23A 5B 19C 1Misc 8Journal 189Unranked 37

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AoI-Based Scheduling of Correlated Sources for Timely Inference. IEEE Trans. Netw. Md Kamran Chowdhury Shisher, Vishrant Tripathi, Mung Chiang, Christopher G. Brinton
2026	J	`jnl`	Balancing Current and Historical State Information in Remote Tracking Systems: A Randomized Update Approach. IEEE Trans. Netw. Sunjung Kang, Chengzhang Li, Christopher G. Brinton, Atilla Eryilmaz, Ness B. Shroff
2026	J	`jnl`	Coherence-Aware Over-the-Air Distributed Learning Under Heterogeneous Link Impairments. IEEE J. Sel. Areas Inf. Theory Mehdi Karbalayghareh, David J. Love, Christopher G. Brinton
2026	J	`jnl`	Coherence-Aware Over-the-Air Distributed Learning under Heterogeneous Link Impairments. CoRR Mehdi Karbalayghareh, David J. Love, Christopher G. Brinton
2026	J	`jnl`	Communication-Efficient Personalized Adaptation via Federated-Local Model Merging. CoRR Yinan Zou, Md Kamran Chowdhury Shisher, Christopher G. Brinton, Vishrant Tripathi
2026	J	`jnl`	Communication-Efficient Quantum Federated Learning Over Large-Scale Wireless Networks. IEEE Trans. Netw. Shaba Shaon, Christopher G. Brinton, Dinh C. Nguyen
2026	J	`jnl`	Communication-Efficient Quantum Federated Learning over Large-Scale Wireless Networks. CoRR Shaba Shaon, Christopher G. Brinton, Dinh C. Nguyen
2026	J	`jnl`	Cooperative Decentralized Backdoor Attacks on Vertical Federated Learning. IEEE Trans. Netw. Seohyun Lee, Wenzhi Fang, Anindya Bijoy Das, Seyyedali Hosseinalipour, David J. Love, Christopher G. Brinton
2026	J	`jnl`	Differentially-Private Multi-Tier Federated Learning: A Formal Analysis and Evaluation. IEEE Trans. Netw. Frank Po-Chen Lin, Evan Chen, Dong-Jun Han, Christopher G. Brinton
2026	J	`jnl`	Efficient Split Learning With Overlapping Areas: Handling Distribution Shift in Multi-Cell Networks. IEEE Trans. Netw. Atif Rizwan, Dong-Jun Han, Md. Ferdous Pervej, Christopher G. Brinton, Andreas F. Molisch, Minseok Choi
2026	J	`jnl`	Exploring Performance Tradeoffs in Age-Aware Remote Monitoring with Satellites. CoRR Sunjung Kang, Vishrant Tripathi, Christopher G. Brinton
2026	J	`jnl`	Federated Learning for Cyber Physical Systems: A Comprehensive Survey. IEEE Commun. Surv. Tutorials Minh K. Quan, Pubudu N. Pathirana, Mayuri Wijayasundara, Sujeeva Setunge, Dinh C. Nguyen, Christopher G. Brinton, David J. Love, H. Vincent Poor
2026	J	`jnl`	Resource-Constrained Decentralized Federated Learning via Personalized Event-Triggering. IEEE Trans. Netw. Shahryar Zehtabi, Seyyedali Hosseinalipour, Christopher G. Brinton
2026	J	`jnl`	Robust Over-the-Air Federated Learning Under Imperfect CSI. IEEE Trans. Wirel. Commun. Hwanjin Kim, Hongjae Nam, Jonggyu Jang, Christopher G. Brinton, David J. Love
2026	J	`jnl`	Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-Based Model Caching and Inference Offloading. IEEE Trans. Netw. Minrui Xu, Dusit Niyato, Christopher G. Brinton
2025	—	`conf`	A Primal-Dual Gradient Descent Approach to the Connectivity Constrained Sensor Coverage Problem. CDC Mathias B. Agerman, Ziqiao Zhang, Jong Gwang Kim, Shreyas Sundaram, Christopher G. Brinton
2025	J	`jnl`	Adversarial Node Placement in Decentralized Federated Learning: Maximum Spanning-Centrality Strategy and Performance Analysis. CoRR Adam Piaseczny, Eric Ruzomberka, Rohit Parasnis, Christopher G. Brinton
2025	J	`jnl`	Adversarial Node Placement in Decentralized Federated Learning: Maximum Spanning-Centrality Strategy and Performance Analysis. IEEE Internet Things J. Adam Piaseczny, Eric Ruzomberka, Rohit Parasnis, Christopher G. Brinton
2025	—	`conf`	AoI-Based Scheduling of Correlated Sources for Timely Inference. ICC Md Kamran Chowdhury Shisher, Vishrant Tripathi, Mung Chiang, Christopher G. Brinton
2025	J	`jnl`	AoI-based Scheduling of Correlated Sources for Timely Inference. CoRR Md Kamran Chowdhury Shisher, Vishrant Tripathi, Mung Chiang, Christopher G. Brinton
2025	J	`jnl`	Coding for Gaussian Two-Way Channels: Linear and Learning-Based Approaches. IEEE Trans. Inf. Theory Junghoon Kim, Taejoon Kim, Anindya Bijoy Das, Seyyedali Hosseinalipour, David J. Love, Christopher G. Brinton
2025	J	`jnl`	Coherence-Aware Distributed Learning under Heterogeneous Downlink Impairments. CoRR Mehdi Karbalayghareh, David J. Love, Christopher G. Brinton
2025	J	`jnl`	Collaborative Device-Cloud LLM Inference through Reinforcement Learning. CoRR Wenzhi Fang, Dong-Jun Han, Liangqi Yuan, Christopher G. Brinton
2025	B	`conf`	Communication-Efficient Cooperative Localization: A Graph Neural Network Approach. WiOpt Yinan Zou, Christopher G. Brinton, Vishrant Tripathi
2025	J	`jnl`	Communication-Efficient Split Learning via Adaptive Feature-Wise Compression. IEEE Trans. Neural Networks Learn. Syst. Yongjeong Oh, Jaeho Lee, Christopher G. Brinton, Yo-Seb Jeon
2025	A*	`conf`	Computation and Communication Co-Scheduling for Timely Multi-Task Inference at the Wireless Edge. INFOCOM Md Kamran Chowdhury Shisher, Adam Piaseczny, Yin Sun, Christopher G. Brinton
2025	J	`jnl`	Computation and Communication Co-scheduling for Timely Multi-Task Inference at the Wireless Edge. CoRR Md Kamran Chowdhury Shisher, Adam Piaseczny, Yin Sun, Christopher G. Brinton
2025	J	`jnl`	Contextual Integrity in LLMs via Reasoning and Reinforcement Learning. CoRR Guangchen Lan, Huseyin A. Inan, Sahar Abdelnabi, Janardhan Kulkarni, Lukas Wutschitz, Reza Shokri, Christopher G. Brinton, Robert Sim
2025	J	`jnl`	Cooperative Decentralized Backdoor Attacks on Vertical Federated Learning. CoRR Seohyun Lee, Wenzhi Fang, Anindya Bijoy Das, Seyyedali Hosseinalipour, David J. Love, Christopher G. Brinton
2025	J	`jnl`	DPZV: Resource Efficient ZO Optimization For Differentially Private VFL. CoRR Jianing Zhang, Evan Chen, Chaoyue Liu, Christopher G. Brinton
2025	J	`jnl`	Decentralized Federated Domain Generalization with Style Sharing: A Formal Modeling and Convergence Analysis. CoRR Shahryar Zehtabi, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher G. Brinton
2025	A*	`conf`	Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees. ICLR Shahryar Zehtabi, Dong-Jun Han, Rohit Parasnis, Seyyedali Hosseinalipour, Christopher G. Brinton
2025	J	`jnl`	Derandomizing Codes for the Adversarial Wiretap Channel of Type II. IEEE Trans. Inf. Theory Eric Ruzomberka, Homa Nikbakht, Christopher G. Brinton, David J. Love, H. Vincent Poor
2025	—	`conf`	Differentially-Private Multi-Tier Federated Learning. ICC Evan Chen, Frank Po-Chen Lin, Dong-Jun Han, Christopher G. Brinton
2025	J	`jnl`	Differentially-Private Multi-Tier Federated Learning: A Formal Analysis and Evaluation. CoRR Evan Chen, Frank Po-Chen Lin, Dong-Jun Han, Christopher G. Brinton
2025	B	`conf`	Error Analysis for Over-the-Air Federated Learning under Misaligned and Time-Varying Channels. GLOBECOM Xiaoyan Ma, Shahryar Zehtabi, Taejoon Kim, Christopher G. Brinton
2025	J	`jnl`	Federated Foundation Models in Harsh Wireless Environments: Prospects, Challenges, and Future Directions. CoRR Evan Chen, Seyyedali Hosseinalipour, Christopher G. Brinton, David J. Love
2025	J	`jnl`	Federated Learning Over Hierarchical Wireless Networks: Training Latency Minimization via Submodel Partitioning. IEEE Trans. Netw. Wenzhi Fang, Dong-Jun Han, Christopher G. Brinton
2025	J	`jnl`	Federated Learning for Cyber Physical Systems: A Comprehensive Survey. CoRR Minh K. Quan, Pubudu N. Pathirana, Mayuri Wijayasundara, Sujeeva Setunge, Dinh C. Nguyen, Christopher G. Brinton, David J. Love, H. Vincent Poor
2025	J	`jnl`	Federated Sketching LoRA: On-Device Collaborative Fine-Tuning of Large Language Models. CoRR Wenzhi Fang, Dong-Jun Han, Liangqi Yuan, Seyyedali Hosseinalipour, Christopher G. Brinton
2025	J	`jnl`	Graph Neural Networks for the Optimization of Collaborative Federated Learning Energy Efficiency. IEEE Trans. Mob. Comput. Nuocheng Yang, Sihua Wang, Yuchen Liu, Christopher G. Brinton, Changchuan Yin, Mingzhe Chen
2025	J	`jnl`	Guest Editorial Special Issue on Federated Learning for Big Data Applications. IEEE Trans. Big Data Xiaowen Chu, Wei Wang, Cong Wang, Yang Liu, Rongfei Zeng, Christopher G. Brinton
2025	—	`conf`	Joint Spatio-Temporal Feature Extraction for Channel State Prediction in MIMO Systems. CCNC Satyavrat Wagle, Akshay Malhotra, Shahab Hamidi-Rad, Mohamed Salah Ibrahim, Christopher G. Brinton
2025	—	`conf`	LLMAP: LLM-Assisted Multi-Objective Route Planning with User Preferences. EMNLP (Findings) Liangqi Yuan, Dong-Jun Han, Christopher G. Brinton, Sabine Brunswicker
2025	J	`jnl`	LLMAP: LLM-Assisted Multi-Objective Route Planning with User Preferences. CoRR Liangqi Yuan, Dong-Jun Han, Christopher G. Brinton, Sabine Brunswicker
2025	J	`jnl`	Learning-Based Two-Way Communications: Algorithmic Framework and Comparative Analysis. IEEE Commun. Lett. David R. Nickel, Anindya Bijoy Das, David J. Love, Christopher G. Brinton
2025	J	`jnl`	Local-Cloud Inference Offloading for LLMs in Multi-Modal, Multi-Task, Multi-Dialogue Settings. CoRR Liangqi Yuan, Dong-Jun Han, Shiqiang Wang, Christopher G. Brinton
2025	J	`jnl`	MaPPO: Maximum a Posteriori Preference Optimization with Prior Knowledge. CoRR Guangchen Lan, Sipeng Zhang, Tianle Wang, Yuwei Zhang, Daoan Zhang, Xinpeng Wei, Xiaoman Pan, Hongming Zhang, Dong-Jun Han, Christopher G. Brinton
2025	J	`jnl`	Mitigating Evasion Attacks in Federated Learning Based Signal Classifiers. IEEE Trans. Netw. Sci. Eng. Su Wang, Rajeev Sahay, Adam Piaseczny, Christopher G. Brinton
2025	J	`jnl`	Multi-Agent Reinforcement Learning for Graph Discovery in D2D-Enabled Federated Learning. IEEE J. Sel. Top. Signal Process. Satyavrat Wagle, Anindya Bijoy Das, David J. Love, Christopher G. Brinton
2025	J	`jnl`	Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics. IEEE Trans. Emerg. Top. Comput. Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura Melissa Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton
2025	J	`jnl`	Next-Generation LLM for UAV: From Natural Language to Autonomous Flight. CoRR Liangqi Yuan, Chuhao Deng, Dong-Jun Han, Inseok Hwang, Sabine Brunswicker, Christopher G. Brinton
2025	J	`jnl`	Online Learning of Whittle Indices for Restless Bandits with Non-Stationary Transition Kernels. CoRR Md Kamran Chowdhury Shisher, Vishrant Tripathi, Mung Chiang, Christopher G. Brinton
2025	J	`jnl`	Parameter Tracking in Federated Learning with Adaptive Optimization. CoRR Evan Chen, Jianing Zhang, Shiqiang Wang, Chaoyue Liu, Christopher G. Brinton
2025	A*	`conf`	Physics-based Generative Models for Geometrically Consistent and Interpretable Wireless Channel Synthesis. IJCAI Satyavrat Wagle, Akshay Malhotra, Shahab Hamidi-Rad, Aditya Sant, David J. Love, Christopher G. Brinton
2025	J	`jnl`	RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget. CoRR Adam Piaseczny, Md Kamran Chowdhury Shisher, Shiqiang Wang, Christopher G. Brinton
2025	A*	`conf`	Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks. AAAI Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher G. Brinton
2025	B	`conf`	Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading. GLOBECOM Minrui Xu, Dusit Niyato, Christopher G. Brinton
2025	J	`jnl`	Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading. CoRR Minrui Xu, Dusit Niyato, Christopher G. Brinton
2025	J	`jnl`	TAP: Two-Stage Adaptive Personalization of Multi-task and Multi-Modal Foundation Models in Federated Learning. CoRR Seohyun Lee, Wenzhi Fang, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher G. Brinton
2025	B	`conf`	Timely Trajectory Reconstruction in Finite Buffer Remote Tracking Systems. WiOpt Sunjung Kang, Vishrant Tripathi, Christopher G. Brinton
2025	J	`jnl`	Timely Trajectory Reconstruction in Finite Buffer Remote Tracking Systems. CoRR Sunjung Kang, Vishrant Tripathi, Christopher G. Brinton
2025	J	`jnl`	VisualActBench: Can VLMs See and Act like a Human? CoRR Daoan Zhang, Pai Liu, Xiaofei Zhou, Yuan Ge, Guangchen Lan, Jing Bi, Christopher G. Brinton, Ehsan Hoque, Jiebo Luo
2024	J	`jnl`	A Decentralized Pilot Assignment Algorithm for Scalable O-RAN Cell-Free Massive MIMO. IEEE J. Sel. Areas Commun. Myeung Suk Oh, Anindya Bijoy Das, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, Christopher G. Brinton
2024	J	`jnl`	A Hierarchical Gradient Tracking Algorithm for Mitigating Subnet-Drift in Fog Learning Networks. CoRR Evan Chen, Shiqiang Wang, Christopher G. Brinton
2024	—	`conf`	A Privacy Preserving and Byzantine Robust Collaborative Federated Learning Method Design. ICC Nuocheng Yang, Sihua Wang, Mingzhe Chen, Changchuan Yin, Christopher G. Brinton
2024	J	`jnl`	Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis. CoRR Guangchen Lan, Dong-Jun Han, Abolfazl Hashemi, Vaneet Aggarwal, Christopher G. Brinton
2024	J	`jnl`	Asynchronous Multi-Model Dynamic Federated Learning Over Wireless Networks: Theory, Modeling, and Optimization. IEEE Trans. Cogn. Commun. Netw. Zhan-Lun Chang, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton
2024	J	`jnl`	Coding for Gaussian Two-Way Channels: Linear and Learning-Based Approaches. CoRR Junghoon Kim, Taejoon Kim, Anindya Bijoy Das, Seyyedali Hosseinalipour, David J. Love, Christopher G. Brinton
2024	J	`jnl`	Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection. CoRR Liangqi Yuan, Dong-Jun Han, Su Wang, Devesh Upadhyay, Christopher G. Brinton
2024	—	`conf`	Complexity Reduction in Machine Learning-Based Wireless Positioning: Minimum Description Features. ICC Myeung Suk Oh, Anindya Bijoy Das, Taejoon Kim, David J. Love, Christopher G. Brinton
2024	J	`jnl`	Complexity Reduction in Machine Learning-Based Wireless Positioning: Minimum Description Features. CoRR Myeung Suk Oh, Anindya Bijoy Das, Taejoon Kim, David J. Love, Christopher G. Brinton
2024	—	`conf`	Constant Modulus Waveform Design with Block-Level Interference Exploitation for DFRC Systems. ICC Byunghyun Lee, Anindya Bijoy Das, David J. Love, Christopher G. Brinton, James V. Krogmeier
2024	J	`jnl`	Cooperative Federated Learning Over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading. IEEE J. Sel. Areas Commun. Dong-Jun Han, Seyyedali Hosseinalipour, David J. Love, Mung Chiang, Christopher G. Brinton
2024	—	`conf`	Cooperative Federated Learning over Hybrid Terrestrial and Non-Terrestrial Networks. ICC Dong-Jun Han, Seyyedali Hosseinalipour, David J. Love, Mung Chiang, Christopher G. Brinton
2024	J	`jnl`	Decentralized Federated Learning: A Survey and Perspective. IEEE Internet Things J. Liangqi Yuan, Ziran Wang, Lichao Sun, Philip S. Yu, Christopher G. Brinton
2024	J	`jnl`	Decentralized Sporadic Federated Learning: A Unified Methodology with Generalized Convergence Guarantees. CoRR Shahryar Zehtabi, Dong-Jun Han, Rohit Parasnis, Seyyedali Hosseinalipour, Christopher G. Brinton
2024	J	`jnl`	Delay-Aware Hierarchical Federated Learning. IEEE Trans. Cogn. Commun. Netw. Frank Po-Chen Lin, Seyyedali Hosseinalipour, Nicolò Michelusi, Christopher G. Brinton
2024	J	`jnl`	Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks. IEEE/ACM Trans. Netw. Su Wang, Roberto Morabito, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton
2024	J	`jnl`	Differential Privacy in Hierarchical Federated Learning: A Formal Analysis and Evaluation. CoRR Frank Po-Chen Lin, Christopher G. Brinton
2024	J	`jnl`	Digital Ethics in Federated Learning. IEEE Internet Comput. Liangqi Yuan, Ziran Wang, Christopher G. Brinton
2024	J	`jnl`	Digital Over-the-Air Federated Learning in Multi-Antenna Systems. IEEE Trans. Wirel. Commun. Sihua Wang, Mingzhe Chen, Cong Shen, Changchuan Yin, Christopher G. Brinton
2024	J	`jnl`	Do Small Cells Make Sense for Simple Low Cost LPWANs? IEEE Wirel. Commun. Lett. Ashwin Natraj Arun, Anindya Bijoy Das, Christopher G. Brinton, David J. Love, James V. Krogmeier
2024	B	`conf`	Enhanced Real-Time Threat Detection in 5G Networks: A Self-Attention RNN Autoencoder Approach for Spectral Intrusion Analysis. WiOpt Mohammadreza Kouchaki, Minglong Zhang, Aly Sabri Abdalla, Guangchen Lan, Christopher G. Brinton, Vuk Marojevic
2024	J	`jnl`	Enhanced Real-Time Threat Detection in 5G Networks: A Self-Attention RNN Autoencoder Approach for Spectral Intrusion Analysis. CoRR Mohammadreza Kouchaki, Minglong Zhang, Aly Sabri Abdalla, Guangchen Lan, Christopher G. Brinton, Vuk Marojevic
2024	B	`conf`	FICDF: A Federated Incremental Learning Framework for IoT Device Fingerprinting. WiOpt Shengli Ding, Dong-Jun Han, Christopher G. Brinton, Keerthi Dasala
2024	—	`conf`	FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication. ICC Liangqi Yuan, Dong-Jun Han, Vishnu Pandi Chellapandi, Stanislaw H. Zak, Christopher G. Brinton
2024	J	`jnl`	Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges. IEEE Trans. Intell. Veh. Vishnu Pandi Chellapandi, Liangqi Yuan, Christopher G. Brinton, Stanislaw H. Zak, Ziran Wang
2024	J	`jnl`	Federated Learning with Dynamic Client Arrival and Departure: Convergence and Rapid Adaptation via Initial Model Construction. CoRR Zhan-Lun Chang, Dong-Jun Han, Rohit Parasnis, Seyyedali Hosseinalipour, Christopher G. Brinton
2024	J	`jnl`	Federated Split Learning With Joint Personalization-Generalization for Inference-Stage Optimization in Wireless Edge Networks. IEEE Trans. Mob. Comput. Dong-Jun Han, Do-Yeon Kim, Minseok Choi, David R. Nickel, Jaekyun Moon, Mung Chiang, Christopher G. Brinton
2024	J	`jnl`	Guest Editorial Special Issue on Edge Learning in B5G IoT Systems. IEEE Internet Things J. Zhaohui Yang, Mingzhe Chen, Christopher G. Brinton, Petar Popovski, Anna Scaglione
2024	A*	`conf`	Hierarchical Federated Learning with Multi-Timescale Gradient Correction. NeurIPS Wenzhi Fang, Dong-Jun Han, Evan Chen, Shiqiang Wang, Christopher G. Brinton
2024	J	`jnl`	Hierarchical Federated Learning with Multi-Timescale Gradient Correction. CoRR Wenzhi Fang, Dong-Jun Han, Evan Chen, Shiqiang Wang, Christopher G. Brinton
2024	J	`jnl`	Key Focus Areas and Enabling Technologies for 6G. CoRR Christopher G. Brinton, Mung Chiang, Kwang Taik Kim, David J. Love, Michael Beesley, Morris Repeta, John Roese, Per Beming, Erik Ekudden, Clara Li, Geng Wu, Nishant Batra, Amitava Ghosh, Volker Ziegler, Tingfang Ji, Rajat Prakash, John E. Smee
2024	B	`conf`	Maximizing User Admittance for Cognitive Satellite-Terrestrial Networks Using ODE-Inspired Spectral Radius Estimation. ITW Kai Wang, Chee Wei Tan, Christopher G. Brinton
2024	J	`jnl`	Minimum Description Feature Selection for Complexity Reduction in Machine Learning-Based Wireless Positioning. IEEE J. Sel. Areas Commun. Myeung Suk Oh, Anindya Bijoy Das, Taejoon Kim, David J. Love, Christopher G. Brinton
2024	J	`jnl`	Minimum Description Feature Selection for Complexity Reduction in Machine Learning-based Wireless Positioning. CoRR Myeung Suk Oh, Anindya Bijoy Das, Taejoon Kim, David J. Love, Christopher G. Brinton
2024	J	`jnl`	Multi-Source to Multi-Target Decentralized Federated Domain Adaptation. IEEE Trans. Cogn. Commun. Netw. Su Wang, Seyyedali Hosseinalipour, Christopher G. Brinton
2024	—	`conf`	Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation. WWW (Companion Volume) Yun-Wei Chu, Dong-Jun Han, Christopher G. Brinton
2024	J	`jnl`	Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation. CoRR Yun-Wei Chu, Dong-Jun Han, Christopher G. Brinton
2024	J	`jnl`	Orchestrating Federated Learning in Space-Air- Ground Integrated Networks: Adaptive Data Offloading and Seamless Handover. IEEE J. Sel. Areas Commun. Dong-Jun Han, Wenzhi Fang, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton
2024	J	`jnl`	Orchestrating Federated Learning in Space-Air-Ground Integrated Networks: Adaptive Data Offloading and Seamless Handover. CoRR Dong-Jun Han, Wenzhi Fang, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton
2024	J	`jnl`	Orchestrating Heterogeneous NTNs: From Stochastic Geometry to Resource Allocation. IEEE Trans. Aerosp. Electron. Syst. Matthew A. Bliss, Frederick J. Block, Thomas C. Royster IV, Christopher G. Brinton, David J. Love
2024	J	`jnl`	Parallel Successive Learning for Dynamic Distributed Model Training Over Heterogeneous Wireless Networks. IEEE/ACM Trans. Netw. Seyyedali Hosseinalipour, Su Wang, Nicolò Michelusi, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Mung Chiang
2024	J	`jnl`	Performance Optimization for Variable Bitwidth Federated Learning in Wireless Networks. IEEE Trans. Wirel. Commun. Sihua Wang, Mingzhe Chen, Christopher G. Brinton, Changchuan Yin, Walid Saad, Shuguang Cui
2024	J	`jnl`	Rethinking the Starting Point: Enhancing Performance and Fairness of Federated Learning via Collaborative Pre-Training. CoRR Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher G. Brinton
2024	—	`conf`	Smart Information Exchange for Unsupervised Federated Learning via Reinforcement Learning. ICC Seohyun Lee, Anindya Bijoy Das, Satyavrat Wagle, Christopher G. Brinton
2024	J	`jnl`	Smart Information Exchange for Unsupervised Federated Learning via Reinforcement Learning. CoRR Seohyun Lee, Anindya Bijoy Das, Satyavrat Wagle, Christopher G. Brinton
2024	J	`jnl`	Sparsity-Preserving Encodings for Straggler-Optimal Distributed Matrix Computations at the Edge. CoRR Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
2024	J	`jnl`	Sparsity-Preserving Encodings for Straggler-Optimal Distributed Matrix Computations at the Edge. IEEE Internet Things J. Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
2024	—	`conf`	Submodel Partitioning in Hierarchical Federated Learning: Algorithm Design and Convergence Analysis. ICC Wenzhi Fang, Dong-Jun Han, Christopher G. Brinton
2024	A*	`conf`	Taming Subnet-Drift in D2D-Enabled Fog Learning: A Hierarchical Gradient Tracking Approach. INFOCOM Evan Chen, Shiqiang Wang, Christopher G. Brinton
2024	—	`conf`	The Impact of Adversarial Node Placement in Decentralized Federated Learning Networks. ICC Adam Piaseczny, Eric Ruzomberka, Rohit Parasnis, Christopher G. Brinton
2024	J	`jnl`	Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning Without Labels. IEEE Trans. Cogn. Commun. Netw. Satyavrat Wagle, Seyyedali Hosseinalipour, Naji Khosravan, Christopher G. Brinton
2024	J	`jnl`	Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning without Labels. CoRR Satyavrat Wagle, Seyyedali Hosseinalipour, Naji Khosravan, Christopher G. Brinton
2024	J	`jnl`	Using Diffusion Models as Generative Replay in Continual Federated Learning - What will Happen? CoRR Yongsheng Mei, Liangqi Yuan, Dong-Jun Han, Kevin S. Chan, Christopher G. Brinton, Tian Lan
2023	B	`conf`	A Reinforcement Learning-Based Approach to Graph Discovery in D2D-Enabled Federated Learning. GLOBECOM Satyavrat Wagle, Anindya Bijoy Das, David J. Love, Christopher G. Brinton
2023	J	`jnl`	AGAPECert: An Auditable, Generalized, Automated, Privacy-Enabling Certification Framework With Oblivious Smart Contracts. IEEE Trans. Dependable Secur. Comput. Servio Palacios, Aaron Ault, James V. Krogmeier, Bharat K. Bhargava, Christopher G. Brinton
2023	—	`conf`	Adaptive Frequency Hopping for 5G New Radio mMTC Security. ICIT Wai Ming Chan, Hyuck M. Kwon, Rémi A. Chou, David J. Love, Sonia Fahmy, Syed Rafiul Hussain, Sang Wu Kim, Chris Vander Valk, Christopher G. Brinton, Vuk Marojevic, Khanh D. Pham, Taejoon Kim
2023	J	`jnl`	Asynchronous Multi-Model Federated Learning over Wireless Networks: Theory, Modeling, and Optimization. CoRR Zhan-Lun Chang, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton
2023	J	`jnl`	Challenges and Opportunities for Beyond-5G Wireless Security. CoRR Eric Ruzomberka, David J. Love, Christopher G. Brinton, Arpit Gupta, Chih-Chun Wang, H. Vincent Poor
2023	J	`jnl`	Challenges and Opportunities for Beyond-5G Wireless Security. IEEE Secur. Priv. Eric Ruzomberka, David J. Love, Christopher G. Brinton, Arpit Gupta, Chih-Chun Wang, H. Vincent Poor
2023	Misc	`conf`	Coded Matrix Computations for D2D-Enabled Linearized Federated Learning. ICASSP Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
2023	J	`jnl`	Coded Matrix Computations for D2D-enabled Linearized Federated Learning. CoRR Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
2023	J	`jnl`	Communication-Efficient Split Learning via Adaptive Feature-Wise Compression. CoRR Yongjeong Oh, Jaeho Lee, Christopher G. Brinton, Yo-Seb Jeon
2023	B	`conf`	Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks. MobiHoc Rohit Parasnis, Seyyedali Hosseinalipour, Yun-Wei Chu, Mung Chiang, Christopher G. Brinton
2023	J	`jnl`	Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks. CoRR Rohit Parasnis, Seyyedali Hosseinalipour, Yun-Wei Chu, Christopher G. Brinton, Mung Chiang
2023	J	`jnl`	Cooperative Federated Learning over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading. CoRR Dong-Jun Han, Seyyedali Hosseinalipour, David J. Love, Mung Chiang, Christopher G. Brinton
2023	J	`jnl`	Cross-Layer Federated Learning Optimization in MIMO Networks. CoRR Sihua Wang, Mingzhe Chen, Cong Shen, Changchuan Yin, Christopher G. Brinton
2023	J	`jnl`	Defending Adversarial Attacks on Deep Learning-Based Power Allocation in Massive MIMO Using Denoising Autoencoders. IEEE Trans. Cogn. Commun. Netw. Rajeev Sahay, Minjun Zhang, David J. Love, Christopher G. Brinton
2023	J	`jnl`	Delay-Aware Hierarchical Federated Learning. CoRR Frank Po-Chen Lin, Seyyedali Hosseinalipour, Christopher G. Brinton, Nicolò Michelusi
2023	—	`conf`	Derandomizing Codes for the Binary Adversarial Wiretap Channel of Type II. Allerton Eric Ruzomberka, Homa Nikbakht, Christopher G. Brinton, David J. Love, H. Vincent Poor
2023	J	`jnl`	Derandomizing Codes for the Binary Adversarial Wiretap Channel of Type II. CoRR Eric Ruzomberka, Homa Nikbakht, Christopher G. Brinton, David J. Love, H. Vincent Poor
2023	J	`jnl`	Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks. CoRR Su Wang, Roberto Morabito, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton
2023	J	`jnl`	Digital Ethics in Federated Learning. CoRR Liangqi Yuan, Ziran Wang, Christopher G. Brinton
2023	J	`jnl`	Distributed Matrix Computations With Low-Weight Encodings. IEEE J. Sel. Areas Inf. Theory Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
2023	B	`conf`	Distributed Matrix Computations with Low-weight Encodings. ISIT Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
2023	J	`jnl`	Distributed Matrix Computations with Low-weight Encodings. CoRR Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
2023	—	`conf`	Distributed Quantized Transmission and Fusion for Federated Machine Learning. VTC Fall Omid Moghimi Kandelusy, Christopher G. Brinton, Taejoon Kim
2023	A*	`conf`	Distributional Cloning for Stabilized Imitation Learning via ADMM. ICDM Xin Zhang, Yanhua Li, Ziming Zhang, Christopher G. Brinton, Zhenming Liu, Zhi-Li Zhang
2023	J	`jnl`	Dynamic and Robust Sensor Selection Strategies for Wireless Positioning With TOA/RSS Measurement. IEEE Trans. Veh. Technol. Myeung Suk Oh, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, James V. Krogmeier, Christopher G. Brinton
2023	A*	`conf`	Efficient Federated Domain Translation. ICLR Zeyu Zhou, Sheikh Shams Azam, Christopher G. Brinton, David I. Inouye
2023	B	`conf`	Energy Efficient Collaborative Federated Learning Design: A Graph Neural Network based Approach. GLOBECOM Nuocheng Yang, Sihua Wang, Mingzhe Chen, Christopher G. Brinton, Changchuan Yin
2023	J	`jnl`	Fault-Tolerant Vertical Federated Learning on Dynamic Networks. CoRR Surojit Ganguli, Zeyu Zhou, Christopher G. Brinton, David I. Inouye
2023	J	`jnl`	FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication. CoRR Liangqi Yuan, Dong-Jun Han, Vishnu Pandi Chellapandi, Stanislaw H. Zak, Christopher G. Brinton
2023	J	`jnl`	Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges. CoRR Vishnu Pandi Chellapandi, Liangqi Yuan, Christopher G. Brinton, Stanislaw H. Zak, Ziran Wang
2023	—	`conf`	How Potent are Evasion Attacks for Poisoning Federated Learning-Based Signal Classifiers? ICC Su Wang, Rajeev Sahay, Christopher G. Brinton
2023	A*	`conf`	Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates. NeurIPS Guangchen Lan, Han Wang, James Anderson, Christopher G. Brinton, Vaneet Aggarwal
2023	J	`jnl`	Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates. CoRR Guangchen Lan, Han Wang, James Anderson, Christopher G. Brinton, Vaneet Aggarwal
2023	—	`conf`	Intelligent Spectrum Sensing and Resource Allocation in Cognitive Networks via Deep Reinforcement Learning. ICC Dinh C. Nguyen, David J. Love, Christopher G. Brinton
2023	J	`jnl`	Latency Minimization for Mobile Edge Computing Networks. IEEE Trans. Mob. Comput. Chang-Lin Chen, Christopher G. Brinton, Vaneet Aggarwal
2023	A	`conf`	Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution. WACV Guojun Wu, Xin Zhang, Ziming Zhang, Yanhua Li, Xun Zhou, Christopher G. Brinton, Zhenming Liu
2023	B	`conf`	MIMO Beamforming and Signal Modulation Design for Federated Learning Optimization. GLOBECOM Nuocheng Yang, Sihua Wang, Mingzhe Chen, Cong Shen, Changchuan Yin, Christopher G. Brinton
2023	J	`jnl`	Multi-Edge Server-Assisted Dynamic Federated Learning With an Optimized Floating Aggregation Point. IEEE/ACM Trans. Netw. Bhargav Ganguly, Seyyedali Hosseinalipour, Kwang Taik Kim, Christopher G. Brinton, Vaneet Aggarwal, David J. Love, Mung Chiang
2023	J	`jnl`	Multi-Source to Multi-Target Decentralized Federated Domain Adaptation. CoRR Su Wang, Seyyedali Hosseinalipour, Christopher G. Brinton
2023	A*	`conf`	On Pseudolinear Codes for Correcting Adversarial Errors. FOCS Eric Ruzomberka, Homa Nikbakht, Christopher G. Brinton, H. Vincent Poor
2023	J	`jnl`	On Pseudolinear Codes for Correcting Adversarial Errors. CoRR Eric Ruzomberka, Homa Nikbakht, Christopher G. Brinton, H. Vincent Poor
2023	—	`conf`	On the Effects of Data Heterogeneity on the Convergence Rates of Distributed Linear System Solvers. CDC Boris Velasevic, Rohit Parasnis, Christopher G. Brinton, Navid Azizan
2023	J	`jnl`	On the Effects of Data Heterogeneity on the Convergence Rates of Distributed Linear System Solvers. CoRR Boris Velasevic, Rohit Parasnis, Christopher G. Brinton, Navid Azizan
2023	J	`jnl`	Optimal Device Selection in Federated Learning for Resource-Constrained Edge Networks. IEEE Internet Things J. Deepali Kushwaha, Surender Redhu, Christopher G. Brinton, Rajesh M. Hegde
2023	J	`jnl`	Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach. CoRR Rajeev Sahay, Serena Nicoll, Minjun Zhang, Tsung-Yen Yang, Carlee Joe-Wong, Kerrie A. Douglas, Christopher G. Brinton
2023	J	`jnl`	Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach. IEEE/ACM Trans. Netw. Rajeev Sahay, Serena Nicoll, Minjun Zhang, Tsung-Yen Yang, Carlee Joe-Wong, Kerrie A. Douglas, Christopher G. Brinton
2023	—	`conf`	Preserving Sparsity and Privacy in Straggler-Resilient Distributed Matrix Computations. Allerton Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
2023	J	`jnl`	Preserving Sparsity and Privacy in Straggler-Resilient Distributed Matrix Computations. CoRR Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
2023	A*	`conf`	Robust Non-Linear Feedback Coding via Power-Constrained Deep Learning. ICML Junghoon Kim, Taejoon Kim, David J. Love, Christopher G. Brinton
2023	J	`jnl`	Robust Non-Linear Feedback Coding via Power-Constrained Deep Learning. CoRR Junghoon Kim, Taejoon Kim, David J. Love, Christopher G. Brinton
2023	A*	`conf`	SplitGP: Achieving Both Generalization and Personalization in Federated Learning. INFOCOM Dong-Jun Han, Do-Yeon Kim, Minseok Choi, Christopher G. Brinton, Jaekyun Moon
2023	A*	`conf`	StableFDG: Style and Attention Based Learning for Federated Domain Generalization. NeurIPS Jungwuk Park, Dong-Jun Han, Jinho Kim, Shiqiang Wang, Christopher G. Brinton, Jaekyun Moon
2023	J	`jnl`	StableFDG: Style and Attention Based Learning for Federated Domain Generalization. CoRR Jungwuk Park, Dong-Jun Han, Jinho Kim, Shiqiang Wang, Christopher G. Brinton, Jaekyun Moon
2023	J	`jnl`	Submodel Partitioning in Hierarchical Federated Learning: Algorithm Design and Convergence Analysis. CoRR Wenzhi Fang, Dong-Jun Han, Christopher G. Brinton
2023	J	`jnl`	Taming Subnet-Drift in D2D-Enabled Fog Learning: A Hierarchical Gradient Tracking Approach. CoRR Evan Chen, Shiqiang Wang, Christopher G. Brinton
2023	J	`jnl`	The Impact of Adversarial Node Placement in Decentralized Federated Learning Networks. CoRR Adam Piaseczny, Eric Ruzomberka, Rohit Parasnis, Christopher G. Brinton
2023	J	`jnl`	Toward Cooperative Federated Learning Over Heterogeneous Edge/Fog Networks. IEEE Commun. Mag. Su Wang, Seyyedali Hosseinalipour, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Weifeng Su, Mung Chiang
2023	J	`jnl`	Towards Cooperative Federated Learning over Heterogeneous Edge/Fog Networks. CoRR Su Wang, Seyyedali Hosseinalipour, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Weifeng Su, Mung Chiang
2023	J	`jnl`	UAV-Assisted Online Machine Learning Over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach. IEEE Trans. Netw. Serv. Manag. Su Wang, Seyyedali Hosseinalipour, Maria Gorlatova, Christopher G. Brinton, Mung Chiang
2022	J	`jnl`	A Deep Ensemble-Based Wireless Receiver Architecture for Mitigating Adversarial Attacks in Automatic Modulation Classification. IEEE Trans. Cogn. Commun. Netw. Rajeev Sahay, Christopher G. Brinton, David J. Love
2022	J	`jnl`	A Fast Graph Neural Network-Based Method for Winner Determination in Multi-Unit Combinatorial Auctions. IEEE Trans. Cloud Comput. Mengyuan Lee, Seyyedali Hosseinalipour, Christopher G. Brinton, Guanding Yu, Huaiyu Dai
2022	J	`jnl`	A Neural Network-Prepended GLRT Framework for Signal Detection Under Nonlinear Distortions. IEEE Commun. Lett. Rajeev Sahay, Swaroop Appadwedula, David J. Love, Christopher G. Brinton
2022	J	`jnl`	AGAPECert: An Auditable, Generalized, Automated, Privacy-Enabling Certification Framework with Oblivious Smart Contracts. CoRR Servio Palacios, Aaron Ault, James V. Krogmeier, Bharat K. Bhargava, Christopher G. Brinton
2022	A	`conf`	Can we Generalize and Distribute Private Representation Learning? AISTATS Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour, Carlee Joe-Wong, Saurabh Bagchi, Christopher G. Brinton
2022	—	`conf`	Decentralized Event-Triggered Federated Learning with Heterogeneous Communication Thresholds. CDC Shahryar Zehtabi, Seyyedali Hosseinalipour, Christopher G. Brinton
2022	J	`jnl`	Decentralized Event-Triggered Federated Learning with Heterogeneous Communication Thresholds. CoRR Shahryar Zehtabi, Seyyedali Hosseinalipour, Christopher G. Brinton
2022	—	`conf`	Deep Reinforcement Learning-Based Adaptive IRS Control with Limited Feedback Codebooks. ICC Junghoon Kim, Seyyedali Hosseinalipour, Andrew C. Marcum, Taejoon Kim, David J. Love, Christopher G. Brinton
2022	J	`jnl`	Deep Reinforcement Learning-Based Adaptive IRS Control with Limited Feedback Codebooks. CoRR Junghoon Kim, Seyyedali Hosseinalipour, Andrew C. Marcum, Taejoon Kim, David J. Love, Christopher G. Brinton
2022	B	`conf`	Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange. GLOBECOM Satyavrat Wagle, Seyyedali Hosseinalipour, Naji Khosravan, Mung Chiang, Christopher G. Brinton
2022	J	`jnl`	Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange. CoRR Satyavrat Wagle, Seyyedali Hosseinalipour, Naji Khosravan, Mung Chiang, Christopher G. Brinton
2022	J	`jnl`	Event-Triggered Decentralized Federated Learning over Resource-Constrained Edge Devices. CoRR Shahryar Zehtabi, Seyyedali Hosseinalipour, Christopher G. Brinton
2022	A	`conf`	Giving Feedback on Feedback: An Assessment of Grader Feedback Construction on Student Performance. LAK Serena Nicoll, Kerrie A. Douglas, Christopher G. Brinton
2022	J	`jnl`	Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing. CoRR Dinh C. Nguyen, Seyyedali Hosseinalipour, David J. Love, Pubudu N. Pathirana, Christopher G. Brinton
2022	J	`jnl`	Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing. IEEE J. Sel. Areas Commun. Dinh C. Nguyen, Seyyedali Hosseinalipour, David J. Love, Pubudu N. Pathirana, Christopher G. Brinton
2022	J	`jnl`	Learning-Based Adaptive IRS Control With Limited Feedback Codebooks. IEEE Trans. Wirel. Commun. Junghoon Kim, Seyyedali Hosseinalipour, Andrew C. Marcum, Taejoon Kim, David J. Love, Christopher G. Brinton
2022	—	`conf`	Linear Coding for Gaussian Two-Way Channels. Allerton Junghoon Kim, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, Christopher G. Brinton
2022	J	`jnl`	Linear Coding for Gaussian Two-Way Channels. CoRR Junghoon Kim, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, Christopher G. Brinton
2022	J	`jnl`	Minimum Overhead Beamforming and Resource Allocation in D2D Edge Networks. IEEE/ACM Trans. Netw. Junghoon Kim, Taejoon Kim, Morteza Hashemi, David J. Love, Christopher G. Brinton
2022	A	`conf`	Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning. CIKM Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton
2022	J	`jnl`	Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning. CoRR Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton
2022	B	`conf`	Model-Based Reinforcement Learning for Quantized Federated Learning Performance Optimization. GLOBECOM Nuocheng Yang, Sihua Wang, Mingzhe Chen, Christopher G. Brinton, Changchuan Yin, Walid Saad, Shuguang Cui
2022	J	`jnl`	Multi-Edge Server-Assisted Dynamic Federated Learning with an Optimized Floating Aggregation Point. CoRR Bhargav Ganguly, Seyyedali Hosseinalipour, Kwang Taik Kim, Christopher G. Brinton, Vaneet Aggarwal, David J. Love, Mung Chiang
2022	J	`jnl`	Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics. CoRR Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton
2022	J	`jnl`	Multi-Stage Hybrid Federated Learning Over Large-Scale D2D-Enabled Fog Networks. IEEE/ACM Trans. Netw. Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi, Vaneet Aggarwal, David J. Love, Huaiyu Dai
2022	J	`jnl`	Nonparametric Decentralized Detection and Sparse Sensor Selection via Multi-Sensor Online Kernel Scalar Quantization. IEEE Trans. Signal Process. Jing Guo, Raghu G. Raj, David J. Love, Christopher G. Brinton
2022	J	`jnl`	Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks. CoRR Seyyedali Hosseinalipour, Su Wang, Nicolò Michelusi, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Mung Chiang
2022	J	`jnl`	Performance Optimization for Variable Bitwidth Federated Learning in Wireless Networks. CoRR Sihua Wang, Mingzhe Chen, Christopher G. Brinton, Changchuan Yin, Walid Saad, Shuguang Cui
2022	J	`jnl`	Process-BERT: A Framework for Representation Learning on Educational Process Data. CoRR Alexander Scarlatos, Christopher G. Brinton, Andrew S. Lan
2022	A*	`conf`	Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? ICLR Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu, Christopher G. Brinton
2022	J	`jnl`	Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? CoRR Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu, Christopher G. Brinton
2022	—	`conf`	Resource-Efficient and Delay-Aware Federated Learning Design under Edge Heterogeneity. ICC Workshops David R. Nickel, Frank Po-Chen Lin, Seyyedali Hosseinalipour, Nicolò Michelusi, Christopher G. Brinton
2022	J	`jnl`	SplitGP: Achieving Both Generalization and Personalization in Federated Learning. CoRR Dong-Jun Han, Do-Yeon Kim, Minseok Choi, Christopher G. Brinton, Jaekyun Moon
2022	—	`conf`	Uncertainty Quantification-Based Unmanned Aircraft System Detection using Deep Ensembles. VTC Spring Rajeev Sahay, Gabriel C. Birch, Jaclynn J. Stubbs, Christopher G. Brinton
2021	J	`jnl`	BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation. ACM Trans. Intell. Syst. Technol. Qiong Wu, Adam Hare, Sirui Wang, Yuwei Tu, Zhenming Liu, Christopher G. Brinton, Yanhua Li
2021	—	`conf`	Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach. ICC Myeung Suk Oh, Seyyedali Hosseinalipour, Taejoon Kim, Christopher G. Brinton, David J. Love
2021	J	`jnl`	Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach. CoRR Myeung Suk Oh, Seyyedali Hosseinalipour, Taejoon Kim, Christopher G. Brinton, David J. Love
2021	—	`conf`	Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach. IEEE BigData Yun-Wei Chu, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton
2021	J	`jnl`	Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach. CoRR Yun-Wei Chu, Elizabeth Tenorio, Laura Melissa Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton
2021	A*	`conf`	Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation. INFOCOM Su Wang, Mengyuan Lee, Seyyedali Hosseinalipour, Roberto Morabito, Mung Chiang, Christopher G. Brinton
2021	J	`jnl`	Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation. CoRR Su Wang, Mengyuan Lee, Seyyedali Hosseinalipour, Roberto Morabito, Mung Chiang, Christopher G. Brinton
2021	—	`conf`	Equity2Vec: end-to-end deep learning framework for cross-sectional asset pricing. ICAIF Qiong Wu, Christopher G. Brinton, Zheng Zhang, Andrea Pizzoferrato, Zhenming Liu, Mihai Cucuringu
2021	J	`jnl`	Evaluating the efficiency of social learning networks: Perspectives for harnessing learning analytics to improve discussions. Comput. Educ. Tenzin Doleck, David John Lemay, Christopher G. Brinton
2021	J	`jnl`	Fast-Convergent Federated Learning. IEEE J. Sel. Areas Commun. Hung T. Nguyen, Vikash Sehwag, Seyyedali Hosseinalipour, Christopher G. Brinton, Mung Chiang, H. Vincent Poor
2021	B	`conf`	Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling. GLOBECOM Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi
2021	J	`jnl`	Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling. CoRR Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi
2021	—	`conf`	Frequency-based Automated Modulation Classification in the Presence of Adversaries. ICC Rajeev Sahay, Christopher G. Brinton, David J. Love
2021	—	`conf`	Hyperspectral Image Target Detection Using Deep Ensembles for Robust Uncertainty Quantification. ACSCC Rajeev Sahay, Daniel Ries, Joshua D. Zollweg, Christopher G. Brinton
2021	J	`jnl`	Learning-Based Adaptive IRS Control with Limited Feedback Codebooks. CoRR Junghoon Kim, Seyyedali Hosseinalipour, Andrew C. Marcum, Taejoon Kim, David J. Love, Christopher G. Brinton
2021	—	`conf`	Multi-IRS-assisted Multi-Cell Uplink MIMO Communications under Imperfect CSI: A Deep Reinforcement Learning Approach. ICC Workshops Junghoon Kim, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, Christopher G. Brinton
2021	J	`jnl`	Network-Aware Optimization of Distributed Learning for Fog Computing. IEEE/ACM Trans. Netw. Su Wang, Yichen Ruan, Yuwei Tu, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong
2021	C	`conf`	Relationship between learning engagement metrics and learning outcomes in online engineering course. FIE Tiantian Li, Laura Melissa Cruz Castro, Kerrie A. Douglas, Christopher G. Brinton
2021	J	`jnl`	Resource-Efficient and Delay-Aware Federated Learning Design under Edge Heterogeneity. CoRR David R. Nickel, Frank Po-Chen Lin, Seyyedali Hosseinalipour, Nicolò Michelusi, Christopher G. Brinton
2021	Misc	`conf`	Robust Automatic Modulation Classification in the Presence of Adversarial Attacks. CISS Rajeev Sahay, David J. Love, Christopher G. Brinton
2021	J	`jnl`	Robust Subject-Independent P300 Waveform Classification via Signal Pre-Processing and Deep Learning. IEEE Access Rajeev Sahay, Christopher G. Brinton
2021	J	`jnl`	Semi-Decentralized Federated Learning With Cooperative D2D Local Model Aggregations. IEEE J. Sel. Areas Commun. Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi
2021	J	`jnl`	Two Timescale Hybrid Federated Learning with Cooperative D2D Local Model Aggregations. CoRR Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi
2021	J	`jnl`	UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach. CoRR Su Wang, Seyyedali Hosseinalipour, Maria Gorlatova, Christopher G. Brinton, Mung Chiang
2020	J	`jnl`	A Deep Learning Approach to Behavior-Based Learner Modeling. CoRR Yuwei Tu, Weiyu Chen, Christopher G. Brinton
2020	J	`jnl`	A Fast Graph Neural Network-Based Method for Winner Determination in Multi-Unit Combinatorial Auctions. CoRR Mengyuan Lee, Seyyedali Hosseinalipour, Christopher G. Brinton, Guanding Yu, Huaiyu Dai
2020	Misc	`conf`	An Adaptive Content Skipping Methodology based on User Behavioral Modeling. CISS Yuwei Tu, Elizabeth Tenorio, Christopher G. Brinton
2020	J	`jnl`	BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation. CoRR Sirui Wang, Yuwei Tu, Qiong Wu, Adam Hare, Zhenming Liu, Christopher G. Brinton, Yanhua Li
2020	J	`jnl`	Economic Viability of a Virtual ISP. IEEE/ACM Trans. Netw. Shengxin Liu, Carlee Joe-Wong, Jiasi Chen, Christopher G. Brinton, Chee-Wei Tan, Liang Zheng
2020	J	`jnl`	Exploiting Multiple Intelligent Reflecting Surfaces in Multi-Cell Uplink MIMO Communications. CoRR Junghoon Kim, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, Christopher G. Brinton
2020	J	`jnl`	Fast-Convergent Federated Learning. CoRR Hung T. Nguyen, Vikash Sehwag, Seyyedali Hosseinalipour, Christopher G. Brinton, Mung Chiang, H. Vincent Poor
2020	B	`conf`	Federated Learning with Communication Delay in Edge Networks. GLOBECOM Frank Po-Chen Lin, Christopher G. Brinton, Nicolò Michelusi
2020	J	`jnl`	Federated Learning with Communication Delay in Edge Networks. CoRR Frank Po-Chen Lin, Christopher G. Brinton, Nicolò Michelusi
2020	J	`jnl`	Frequency-based Automated Modulation Classification in the Presence of Adversaries. CoRR Rajeev Sahay, Christopher G. Brinton, David J. Love
2020	J	`jnl`	From Federated Learning to Fog Learning: Towards Large-Scale Distributed Machine Learning in Heterogeneous Wireless Networks. CoRR Seyyedali Hosseinalipour, Christopher G. Brinton, Vaneet Aggarwal, Huaiyu Dai, Mung Chiang
2020	J	`jnl`	From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks. IEEE Commun. Mag. Seyyedali Hosseinalipour, Christopher G. Brinton, Vaneet Aggarwal, Huaiyu Dai, Mung Chiang
2020	A*	`conf`	Joint Optimization of Signal Design and Resource Allocation in Wireless D2D Edge Computing. INFOCOM Junghoon Kim, Taejoon Kim, Morteza Hashemi, Christopher G. Brinton, David J. Love
2020	J	`jnl`	Joint Optimization of Signal Design and Resource Allocation in Wireless D2D Edge Computing. CoRR Junghoon Kim, Taejoon Kim, Morteza Hashemi, Christopher G. Brinton, David J. Love
2020	J	`jnl`	Minimum Overhead Beamforming and Resource Allocation in D2D Edge Networks. CoRR Junghoon Kim, Taejoon Kim, Morteza Hashemi, Christopher G. Brinton, David J. Love
2020	J	`jnl`	Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks. CoRR Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi, Vaneet Aggarwal, David J. Love, Huaiyu Dai
2020	A*	`conf`	Network-Aware Optimization of Distributed Learning for Fog Computing. INFOCOM Yuwei Tu, Yichen Ruan, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong
2020	J	`jnl`	Network-Aware Optimization of Distributed Learning for Fog Computing. CoRR Yuwei Tu, Yichen Ruan, Su Wang, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong
2020	J	`jnl`	On Extending NLP Techniques from the Categorical to the Latent Space: KL Divergence, Zipf's Law, and Similarity Search. CoRR Adam Hare, Yu Chen, Yinan Liu, Zhenming Liu, Christopher G. Brinton
2020	J	`jnl`	Towards Generalized and Distributed Privacy-Preserving Representation Learning. CoRR Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour, Christopher G. Brinton, Carlee Joe-Wong, Saurabh Bagchi
2019	—	`conf`	Adaptive Remediation with Multi-modal Content. HCI (32) Yuwei Tu, Christopher G. Brinton, Andrew S. Lan, Mung Chiang
2019	J	`jnl`	Early Detection Prediction of Learning Outcomes in Online Short-Courses via Learning Behaviors. IEEE Trans. Learn. Technol. Weiyu Chen, Christopher G. Brinton, Da Cao, Amanda Mason-Singh, Charlton Lu, Mung Chiang
2019	A	`conf`	Predicting the Timing and Quality of Responses in Online Discussion Forums. ICDCS Patrick Hansen, Richard Junior Bustamante, Tsung-Yen Yang, Elizabeth Tenorio, Christopher G. Brinton, Mung Chiang, Andrew S. Lan
2018	—	`conf`	A Domain-Independent Text Segmentation Method for Educational Course Content. ICDM Workshops Yuwei Tu, Ying Xiong, Weiyu Chen, Christopher G. Brinton
2018	Misc	`conf`	A network-driven approach to modeling the spread of Ebola-type epidemics. CISS Neil Slighton, Jose M. Rico, Emily Kallfelz, Ji Qi, Christopher G. Brinton
2018	Misc	`conf`	A network-driven methodology for sports ranking and prediction. CISS Vincent Xia, Kavirath Jain, Akshay Krishna, Christopher G. Brinton
2018	B	`conf`	Behavioral Analysis at Scale: Learning Course Prerequisite Structures from Learner Clickstreams. EDM Weiyu Chen, Andrew S. Lan, Da Cao, Christopher G. Brinton, Mung Chiang
2018	Misc	`conf`	Course recommendation as graphical analysis. CISS Connor Bridges, James Jared, Joshua Weissmann, Astrid Montanez-Garay, Jonathan C. Spencer, Christopher G. Brinton
2018	—	`conf`	Learner Behavioral Feature Refinement and Augmentation Using GANs. AIED (2) Da Cao, Andrew S. Lan, Weiyu Chen, Christopher G. Brinton, Mung Chiang
2018	—	`conf`	Learning Informative and Private Representations via Generative Adversarial Networks. IEEE BigData Tsung-Yen Yang, Christopher G. Brinton, Prateek Mittal, Mung Chiang, Andrew S. Lan
2018	J	`jnl`	On the Efficiency of Online Social Learning Networks. IEEE/ACM Trans. Netw. Christopher G. Brinton, Swapna Buccapatnam, Liang Zheng, Da Cao, Andrew S. Lan, Felix Ming Fai Wong, Sangtae Ha, Mung Chiang, H. Vincent Poor
2018	—	`conf`	Personalized Thread Recommendation for MOOC Discussion Forums. ECML/PKDD (2) Andrew S. Lan, Jonathan C. Spencer, Ziqi Chen, Christopher G. Brinton, Mung Chiang
2018	J	`jnl`	Personalized Thread Recommendation for MOOC Discussion Forums. CoRR Andrew S. Lan, Jonathan C. Spencer, Ziqi Chen, Christopher G. Brinton, Mung Chiang
2018	A*	`conf`	Predicting Learner Interactions in Social Learning Networks. INFOCOM Tsung-Yen Yang, Christopher G. Brinton, Carlee Joe-Wong
2018	Misc	`conf`	Predictive learning analytics for video-watching behavior in MOOCs. CISS Madhumitha Shridharan, Ashley Willingham, Jonathan C. Spencer, Tsung-Yen Yang, Christopher G. Brinton
2018	B	`conf`	Principles for Assessing Adaptive Online Courses. EDM Weiyu Chen, Carlee Joe-Wong, Christopher G. Brinton, Liang Zheng, Da Cao
2017	A*	`conf`	Behavior in social learning networks: Early detection for online short-courses. INFOCOM Weiyu Chen, Christopher G. Brinton, Da Cao, Mung Chiang
2017	J	`jnl`	Behavior-Based Grade Prediction for MOOCs Via Time Series Neural Networks. IEEE J. Sel. Top. Signal Process. Tsung-Yen Yang, Christopher G. Brinton, Carlee Joe-Wong, Mung Chiang
2017	B	`conf`	Behavior-Based Latent Variable Model for Learner Engagement. EDM Andrew S. Lan, Christopher G. Brinton, Tsung-Yen Yang, Mung Chiang
2017	A*	`conf`	Economic viability of a virtual ISP. INFOCOM Liang Zheng, Carlee Joe-Wong, Jiasi Chen, Christopher G. Brinton, Chee Wei Tan, Mung Chiang
2016	J	`jnl`	Mining MOOC Clickstreams: Video-Watching Behavior vs. In-Video Quiz Performance. IEEE Trans. Signal Process. Christopher G. Brinton, Swapna Buccapatnam, Mung Chiang, H. Vincent Poor
2016	A*	`conf`	On the Viability of a Cloud Virtual Service Provider. SIGMETRICS Liang Zheng, Carlee Joe-Wong, Christopher G. Brinton, Chee-Wei Tan, Sangtae Ha, Mung Chiang
2016	A*	`conf`	Social learning networks: Efficiency optimization for MOOC forums. INFOCOM Christopher G. Brinton, Swapna Buccapatnam, Felix Ming Fai Wong, Mung Chiang, H. Vincent Poor
2016	—	`—`	Technology and Pedagogy: Using Big Data to Enhance Student Learning. Christopher G. Brinton
2015	J	`jnl`	Individualization for Education at Scale: MIIC Design and Preliminary Evaluation. IEEE Trans. Learn. Technol. Christopher G. Brinton, Rüdiger Rill, Sangtae Ha, Mung Chiang, Robert Smith, William Ju
2015	A*	`conf`	MOOC performance prediction via clickstream data and social learning networks. INFOCOM Christopher G. Brinton, Mung Chiang
2015	J	`jnl`	Mining MOOC Clickstreams: On the Relationship Between Learner Video-Watching Behavior and Performance. CoRR Christopher G. Brinton, Swapna Buccapatnam, Mung Chiang, H. Vincent Poor
2014	J	`jnl`	Learning about Social Learning in MOOCs: From Statistical Analysis to Generative Model. IEEE Trans. Learn. Technol. Christopher G. Brinton, Mung Chiang, Shaili Jain, Henry Lam, Zhenming Liu, Felix Ming Fai Wong
2014	Misc	`conf`	Social learning networks: A brief survey. CISS Christopher G. Brinton, Mung Chiang
2013	J	`jnl`	Learning about social learning in MOOCs: From statistical analysis to generative model. CoRR Christopher G. Brinton, Mung Chiang, Shaili Jain, Henry Lam, Zhenming Liu, Felix Ming Fai Wong