Seyyedali Hosseinalipour

194 papers A* 6A 2B 9C 1Journal 157Unranked 19

Year	Rank	Type	Title / Venue / Authors
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`	Dynamic D2D-Assisted Federated Learning Over O-RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection. IEEE Trans. Netw. Payam Abdisarabshali, Kwang Taik Kim, Michael Langberg, Weifeng Su, Seyyedali Hosseinalipour
2026	J	`jnl`	ELSA: Efficient LLM-Centric Split Aggregation for Privacy-Aware Hierarchical Federated Learning over Resource-Constrained Edge Networks. CoRR Xiaohong Yang, Tong Xie, Minghui Liwang, Chikai Shang, Yang Lu, Zhenzhen Jiao, Liqun Fu, Seyyedali Hosseinalipour
2026	J	`jnl`	Elastic Federated Learning Over Open Radio Access Network (O-RAN) for Concurrent Execution of Multiple Distributed Learning Tasks. IEEE Internet Things Mag. Payam Abdisarabshali, Nicholas Accurso, Filippo Malandra, Weifeng Su, Seyyedali Hosseinalipour
2026	J	`jnl`	Future Resource Bank for ISAC: Achieving Fast and Stable Win-Win Matching for Both Individuals and Coalitions. IEEE J. Sel. Areas Commun. Houyi Qi, Minghui Liwang, Seyyedali Hosseinalipour, Liqun Fu, Sai Zou, Wei Ni
2026	J	`jnl`	Game-Theoretic Safe Multiagent Motion Planning With Reachability Analysis for Dynamic and Uncertain Environments. IEEE Trans. Ind. Informatics Wenbin Mai, Minghui Liwang, Xinlei Yi, Xiaoyu Xia, Seyyedali Hosseinalipour, Xianbin Wang
2026	J	`jnl`	Hierarchical Federated Foundation Models over Wireless Networks for Multi-Modal Multi-Task Intelligence: Integration of Edge Learning with D2D/P2P-Enabled Fog Learning Architectures. IEEE Commun. Mag. Payam Abdisarabshali, Fardis Nadimi, Kasra Borazjani, Naji Khosravan, Minghui Liwang, Wei Ni, Dusit Niyato, Michael Langberg, Seyyedali Hosseinalipour
2026	J	`jnl`	Multi-Modal Multi-Task (M3T) Federated Foundation Models for Embodied AI: Potentials and Challenges for Edge Integration. IEEE Internet Things Mag. Kasra Borazjani, Payam Abdisarabshali, Fardis Nadimi, Naji Khosravan, Minghui Liwang, Xianbin Wang, Yiguang Hong, Seyyedali Hosseinalipour
2026	J	`jnl`	RE-MCDF: Closed-Loop Multi-Expert LLM Reasoning for Knowledge-Grounded Clinical Diagnosis. CoRR Shaowei Shen, Xiaohong Yang, Jie Yang, Lianfen Huang, Yongcai Zhang, Yang Zou, Seyyedali Hosseinalipour
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`	Sporadic Gradient Tracking over Directed Graphs: A Theoretical Perspective on Decentralized Federated Learning. CoRR Shahryar Zehtabi, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher Brinton
2026	J	`jnl`	Toward Seamless Hierarchical Federated Learning Under Intermittent Client Participation: A Stagewise Decision-Making Methodology. IEEE Trans. Mob. Comput. Minghong Wu, Minghui Liwang, Yuhan Su, Li Li, Seyyedali Hosseinalipour, Xianbin Wang, Huaiyu Dai, Zhenzhen Jiao
2026	J	`jnl`	Two-Timescale Model Caching and Resource Allocation for Edge-Enabled AI-Generated Content Services. IEEE Trans. Mob. Comput. Zhang Liu, Hongyang Du, Xiangwang Hou, Lianfen Huang, Seyyedali Hosseinalipour, Dusit Niyato, Khaled Ben Letaief
2025	J	`jnl`	A holistic survey of UAV-assisted wireless communications in the transition from 5G to 6G: State-of-the-art intertwined innovations, challenges, and opportunities. J. Netw. Comput. Appl. Mobasshir Mahbub, Mir Md. Saym, Sarwar Jahan, Anup Kumar Paul, Alireza Vahid, Seyyedali Hosseinalipour, Bobby Barua, Hen-Geul Yeh, Raed M. Shubair, Tarik Taleb
2025	J	`jnl`	Accelerating the Delivery of Data Services Over Uncertain Mobile Crowdsensing Networks. IEEE Wirel. Commun. Minghui Liwang, Zhipeng Cheng, Wei Gong, Li Li, Yuhan Su, Zhenzhen Jiao, Seyyedali Hosseinalipour, Xianbin Wang, Huaiyu Dai
2025	J	`jnl`	Adaptive UAV-Assisted Hierarchical Federated Learning: Optimizing Energy, Latency, and Resilience for Dynamic Smart IoT. CoRR Xiaohong Yang, Minghui Liwang, Liqun Fu, Yuhan Su, Seyyedali Hosseinalipour, Xianbin Wang, Yiguang Hong
2025	J	`jnl`	Adaptive UAV-Assisted Hierarchical Federated Learning: Optimizing Energy, Latency, and Resilience for Dynamic Smart IoT. IEEE Trans. Serv. Comput. Xiaohong Yang, Minghui Liwang, Liqun Fu, Yuhan Su, Seyyedali Hosseinalipour, Xianbin Wang, Yiguang Hong
2025	J	`jnl`	Auctioning Future Services in Edge Networks with Moving Vehicles: N-Step Look-Ahead Contracts for Sustainable Resource Provision. CoRR Ziqi Ling, Minghui Liwang, Xianbin Wang, Seyyedali Hosseinalipour, Zhipeng Cheng, Sai Zou, Wei Ni, Xiaoyu Xia
2025	J	`jnl`	Breaking the Barriers of One-to-One Usage of Implicit Neural Representation in Image Compression: A Linear Combination Approach With Performance Guarantees. IEEE Internet Things J. Sai Sanjeet, Seyyedali Hosseinalipour, Jinjun Xiong, Masahiro Fujita, Bibhu Datta Sahoo
2025	J	`jnl`	Bringing Multi-Modal Multi-Task Federated Foundation Models to Education Domain: Prospects and Challenges. CoRR Kasra Borazjani, Naji Khosravan, Rajeev Sahay, Bita Akram, Seyyedali Hosseinalipour
2025	J	`jnl`	Bringing multi-modal multi-task federated foundation models to education domain: prospects and challenges. Frontiers Artif. Intell. Kasra Borazjani, Naji Khosravan, Rajeev Sahay, Bita Akram, Seyyedali Hosseinalipour
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`	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`	DNN Partitioning, Task Offloading, and Resource Allocation in Dynamic Vehicular Networks: A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach. IEEE Trans. Mob. Comput. Zhang Liu, Hongyang Du, Junzhe Lin, Zhibin Gao, Lianfen Huang, Seyyedali Hosseinalipour, Dusit Niyato
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`	Empowering AI-Native 6G Wireless Networks with Quantum Federated Learning. CoRR Shaba Shaon, Md Raihan Uddin, Dinh C. Nguyen, Seyyedali Hosseinalipour, Dusit Niyato, Octavia A. Dobre
2025	J	`jnl`	FUSION: Forecast-Embedded Agent Scheduling with Service Incentive Optimization over Distributed Air-Ground Edge Networks. CoRR Houyi Qi, Minghui Liwang, Seyyedali Hosseinalipour, Liqun Fu, Sai Zou, Xianbin Wang, Wei Ni, Yiguang Hong
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 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`	Frequency-Aware Sparse Optimization for Diagnosing Grid Instabilities and Collapses. CoRR Swadesh Vhakta, Denis Osipov, Reetam Sen Biswas, Amritanshu Pandey, Seyyedali Hosseinalipour, Shimiao Li
2025	J	`jnl`	From Federated Learning to X-Learning: Breaking the Barriers of Decentrality Through Random Walks. CoRR Allan Salihovic, Payam Abdisarabshali, Michael Langberg, Seyyedali Hosseinalipour
2025	J	`jnl`	Future Resource Bank for ISAC: Achieving Fast and Stable Win-Win Matching for Both Individuals and Coalitions. CoRR Houyi Qi, Minghui Liwang, Seyyedali Hosseinalipour, Liqun Fu, Sai Zou, Wei Ni
2025	J	`jnl`	Game-Theoretic Safe Multi-Agent Motion Planning with Reachability Analysis for Dynamic and Uncertain Environments (Extended Version). CoRR Wenbin Mai, Minghui Liwang, Xinlei Yi, Xiaoyu Xia, Seyyedali Hosseinalipour, Xianbin Wang
2025	J	`jnl`	Graph Theory Meets Federated Learning over Satellite Constellations: Spanning Aggregations, Network Formation, and Performance Optimization. CoRR Fardis Nadimi, Payam Abdisarabshali, Jacob Chakareski, Nicholas Mastronarde, Seyyedali Hosseinalipour
2025	J	`jnl`	HEART: Achieving Timely Multi-Model Training for Vehicle-Edge-Cloud-Integrated Hierarchical Federated Learning. CoRR Xiaohong Yang, Minghui Liwang, Xianbin Wang, Zhipeng Cheng, Seyyedali Hosseinalipour, Huaiyu Dai, Zhenzhen Jiao
2025	J	`jnl`	Hierarchical Federated Foundation Models over Wireless Networks for Multi-Modal Multi-Task Intelligence: Integration of Edge Learning with D2D/P2P-Enabled Fog Learning Architectures. CoRR Payam Abdisarabshali, Fardis Nadimi, Kasra Borazjani, Naji Khosravan, Minghui Liwang, Wei Ni, Dusit Niyato, Michael Langberg, Seyyedali Hosseinalipour
2025	J	`jnl`	Long-Term or Temporary? Hybrid Worker Recruitment for Mobile Crowd Sensing and Computing. IEEE Trans. Mob. Comput. Minghui Liwang, Zhibin Gao, Seyyedali Hosseinalipour, Zhipeng Cheng, Xianbin Wang, Zhenzhen Jiao
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`	Multi-Modal Federated Learning for Cancer Staging Over Non-IID Datasets With Unbalanced Modalities. IEEE Trans. Medical Imaging Kasra Borazjani, Naji Khosravan, Leslie Ying, Seyyedali Hosseinalipour
2025	J	`jnl`	Multi-Modal Multi-Task (M3T) Federated Foundation Models for Embodied AI: Potentials and Challenges for Edge Integration. CoRR Kasra Borazjani, Payam Abdisarabshali, Fardis Nadimi, Naji Khosravan, Minghui Liwang, Xianbin Wang, Yiguang Hong, Seyyedali Hosseinalipour
2025	J	`jnl`	Multi-Modal Multi-Task Federated Foundation Models for Next-Generation Extended Reality Systems: Towards Privacy-Preserving Distributed Intelligence in AR/VR/MR. CoRR Fardis Nadimi, Payam Abdisarabshali, Kasra Borazjani, Jacob Chakareski, Seyyedali Hosseinalipour
2025	B	`conf`	Privacy-Preserving Distributed Link Predictions Among Peers in Online Classrooms Using Federated Learning. EDM Anurata Prabha Hridi, Muntasir Hoq, Zhikai Gao, Collin Lynch, Rajeev Sahay, Seyyedali Hosseinalipour, Bita Akram
2025	J	`jnl`	Privacy-Preserving Distributed Link Predictions Among Peers in Online Classrooms Using Federated Learning. CoRR Anurata Prabha Hridi, Muntasir Hoq, Zhikai Gao, Collin Lynch, Rajeev Sahay, Seyyedali Hosseinalipour, Bita Akram
2025	J	`jnl`	Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions. CoRR Kasra Borazjani, Payam Abdisarabshali, Naji Khosravan, Seyyedali Hosseinalipour
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	J	`jnl`	Seamless Graph Task Scheduling Over Dynamic Vehicular Clouds: A Hybrid Methodology for Integrating Pilot and Instantaneous Decisions. IEEE Trans. Serv. Comput. Bingshuo Guo, Minghui Liwang, Xiaoyu Xia, Li Li, Zhenzhen Jiao, Seyyedali Hosseinalipour, Xianbin Wang
2025	J	`jnl`	Seamless Graph Task Scheduling over Dynamic Vehicular Clouds: A Hybrid Methodology for Integrating Pilot and Instantaneous Decisions. CoRR Bingshuo Guo, Minghui Liwang, Xiaoyu Xia, Li Li, Zhenzhen Jiao, Seyyedali Hosseinalipour, Xianbin Wang
2025	J	`jnl`	Synergies between Federated Foundation Models and Smart Power Grids. CoRR Seyyedali Hosseinalipour, Shimiao Li, Adedoyin Inaolaji, Filippo Malandra, Luis Herrera, Nicholas Mastronarde
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	J	`jnl`	The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions. CoRR Maryam Ebrahimi, Rajeev Sahay, Seyyedali Hosseinalipour, Bita Akram
2025	J	`jnl`	Towards Seamless Hierarchical Federated Learning under Intermittent Client Participation: A Stagewise Decision-Making Methodology. CoRR Minghong Wu, Minghui Liwang, Yuhan Su, Li Li, Seyyedali Hosseinalipour, Xianbin Wang, Huaiyu Dai, Zhenzhen Jiao
2025	J	`jnl`	UAV-assisted wireless communications in the 6G-and-beyond era: An extensive survey on characteristics, standardization and regulations, enabling technologies, challenges, and future directions. Veh. Commun. Mobasshir Mahbub, Mir Md. Saym, Sarwar Jahan, Anup Kumar Paul, Alireza Vahid, Seyyedali Hosseinalipour, Bobby Barua, Hen-Geul Yeh, Raed M. Shubair, Tarik Taleb, Aryan Kaushik, Mohammed H. Alsharif, M. Shariful Islam, Russel Reza Mahmud, Dusit Niyato
2025	J	`jnl`	Unleashing the Potential of Stage-Wise Decision-Making in Scheduling of Graph-Structured Tasks Over Mobile Vehicular Clouds. IEEE Commun. Mag. Minghui Liwang, Bingshuo Guo, Zhanxi Ma, Yuhan Su, Jian Jin, Seyyedali Hosseinalipour, Xianbin Wang, Huaiyu Dai
2025	A*	`conf`	Unlocking the Potential of Model Calibration in Federated Learning. ICLR Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher Brinton
2025	J	`jnl`	Voltage-Regulated Sparse Optimization for Proactive Diagnosis of Voltage Collapses. CoRR Qinghua Ma, Seyyedali Hosseinalipour, Ming Shi, Jan Drgona, Shimiao Li
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`	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	—	`conf`	Confluence of Random Walks, Interacting Particle Systems, and Distributed Machine Learning: Federated Learning through Crawling over Networks. AAAI Spring Symposia Seyyedali Hosseinalipour
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`	DNN Partitioning, Task Offloading, and Resource Allocation in Dynamic Vehicular Networks: A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach. CoRR Zhang Liu, Hongyang Du, Junzhe Lin, Zhibin Gao, Lianfen Huang, Seyyedali Hosseinalipour, Dusit Niyato
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`	Decomposition Theory Meets Reliability Analysis: Processing of Computation-Intensive Dependent Tasks Over Vehicular Clouds With Dynamic Resources. IEEE/ACM Trans. Netw. Payam Abdisarabshali, Minghui Liwang, Amir Rajabzadeh, Mahmood Ahmadi, Seyyedali Hosseinalipour
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`	Dynamic D2D-Assisted Federated Learning over O-RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection. CoRR Payam Abdisarabshali, Kwang Taik Kim, Michael Langberg, Weifeng Su, Seyyedali Hosseinalipour
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`	GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling Over Dynamic Vehicular Clouds. IEEE Trans. Netw. Serv. Manag. Zhang Liu, Lianfen Huang, Zhibin Gao, Manman Luo, Seyyedali Hosseinalipour, Huaiyu Dai
2024	J	`jnl`	Guest Editorial: Federated Learning for Industrial Internet of Things. IEEE Internet Things Mag. Dinh C. Nguyen, Viet Quoc Pham, Seyyedali Hosseinalipour, Zehui Xiong, Tuan M. Hoang Trong, Yonina C. Eldar
2024	J	`jnl`	Matching-Based Hybrid Service Trading for Task Assignment Over Dynamic Mobile Crowdsensing Networks. IEEE Trans. Serv. Comput. Houyi Qi, Minghui Liwang, Seyyedali Hosseinalipour, Xiaoyu Xia, Zhipeng Cheng, Xianbin Wang, Zhenzhen Jiao
2024	J	`jnl`	Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities. CoRR Kasra Borazjani, Naji Khosravan, Leslie Ying, Seyyedali Hosseinalipour
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	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`	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	—	`conf`	Real-Time and Low-Overhead Graph Task Scheduling over Vehicular Computing-Assisted Edge Networks. ICC Bingshuo Guo, Minghui Liwang, Fan Yang, Seyyedali Hosseinalipour, Xianbin Wang, Huaiyu Dai
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`	Revolutionizing AI-Assisted Education with Federated Learning: A Pathway to Distributed, Privacy-Preserving, and Debiased Learning Ecosystems. AAAI Spring Symposia Anurata Prabha Hridi, Rajeev Sahay, Seyyedali Hosseinalipour, Bita Akram
2024	J	`jnl`	TDRA: A Truthful Dynamic Reverse Auction for DAG Task Scheduling Over Vehicular Clouds. IEEE Trans. Veh. Technol. Zhang Liu, Yifeng Zhao, Seyyedali Hosseinalipour, Zhibin Gao, Lianfen Huang, Huaiyu Dai
2024	J	`jnl`	Two-Timescale Model Caching and Resource Allocation for Edge-Enabled AI-Generated Content Services. CoRR Zhang Liu, Hongyang Du, Xiangwang Hou, Lianfen Huang, Seyyedali Hosseinalipour, Dusit Niyato, Khaled Ben Letaief
2024	J	`jnl`	Unlocking the Potential of Model Calibration in Federated Learning. CoRR Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher 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
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	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`	DISCO: Achieving Low Latency and High Reliability in Scheduling of Graph-Structured Tasks over Mobile Vehicular Cloud. CoRR Minghui Liwang, Bingshuo Guo, Zhanxi Ma, Yuhan Su, Seyyedali Hosseinalipour, Xianbin Wang, Huaiyu Dai
2023	J	`jnl`	Delay-Aware Hierarchical Federated Learning. CoRR Frank Po-Chen Lin, Seyyedali Hosseinalipour, Christopher G. Brinton, Nicolò Michelusi
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`	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	J	`jnl`	GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling over Dynamic Vehicular Clouds. CoRR Zhang Liu, Lianfen Huang, Zhibin Gao, Manman Luo, Seyyedali Hosseinalipour, Huaiyu Dai
2023	J	`jnl`	Graph-Represented Computation-Intensive Task Scheduling Over Air-Ground Integrated Vehicular Networks. IEEE Trans. Serv. Comput. Minghui Liwang, Zhibin Gao, Seyyedali Hosseinalipour, Yuhan Su, Xianbin Wang, Huaiyu Dai
2023	J	`jnl`	Matching-based Hybrid Service Trading for Task Assignment over Dynamic Mobile Crowdsensing Networks. CoRR Houyi Qi, Minghui Liwang, Seyyedali Hosseinalipour, Xiaoyu Xia, Zhipeng Cheng, Xianbin Wang, Zhenzhen Jiao
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	J	`jnl`	RFID: Towards Low Latency and Reliable DAG Task Scheduling Over Dynamic Vehicular Clouds. IEEE Trans. Veh. Technol. Zhang Liu, Minghui Liwang, Seyyedali Hosseinalipour, Huaiyu Dai, Zhibin Gao, Lianfen Huang
2023	J	`jnl`	Synergies Between Federated Learning and O-RAN: Towards an Elastic Virtualized Architecture for Multiple Distributed Machine Learning Services. CoRR Payam Abdisarabshali, Nicholas Accurso, Filippo Malandra, Weifeng Su, Seyyedali Hosseinalipour
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 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 Truthful Auction for Graph Job Allocation in Vehicular Cloud-Assisted Networks. IEEE Trans. Mob. Comput. Zhibin Gao, Minghui Liwang, Seyyedali Hosseinalipour, Huaiyu Dai, Xianbin Wang
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	J	`jnl`	Decomposition Theory Meets Reliability Analysis: Processing of Computation-Intensive Dependent Tasks over Vehicular Clouds with Dynamic Resources. CoRR Payam Abdisarabshali, Seyyedali Hosseinalipour, Minghui Liwang, Amir Rajabzadeh, Mahmood Ahmadi
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	J	`jnl`	Dynamic Interference Management for UAV-Assisted Wireless Networks. IEEE Trans. Wirel. Commun. Ali Rahmati, Seyyedali Hosseinalipour, Yavuz Yapici, Xiaofan He, Ismail Güvenç, Huaiyu Dai, Arupjyoti Bhuyan
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	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`	Long-Term or Temporary? Hybrid Worker Recruitment for Mobile Crowd Sensing and Computing. CoRR Minghui Liwang, Zhibin Gao, Seyyedali Hosseinalipour, Zhipeng Cheng, Xianbin Wang
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	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`	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`	RFID: Towards Low Latency and Reliable DAG Task Scheduling over Dynamic Vehicular Clouds. CoRR Zhang Liu, Minghui Liwang, Seyyedali Hosseinalipour, Huaiyu Dai, Zhibin Gao, Lianfen Huang
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`	Seamless Service Provisioning for Mobile Crowdsensing: Towards Integrating Forward and Spot Trading Markets. CoRR Minghui Liwang, Seyyedali Hosseinalipour, Zhibin Gao, Zhipeng Cheng, Yuhan Su, Xianbin Wang
2021	J	`jnl`	A Two-Stage Auction Mechanism for Cloud Resource Allocation. IEEE Trans. Cloud Comput. Seyyedali Hosseinalipour, Huaiyu Dai
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	C	`conf`	Cooperative Relaying and Power Control for UAV-Assisted Vehicular Networks with Deep Q-Network. ICCC Yuhan Su, Minghui Liwang, Seyyedali Hosseinalipour, Lianfen Huang, Huaiyu Dai
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	J	`jnl`	Energy-Aware Stochastic UAV-Assisted Surveillance. IEEE Trans. Wirel. Commun. Seyyedali Hosseinalipour, Ali Rahmati, Do Young Eun, Huaiyu Dai
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	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	—	`conf`	Optimal Position Planning of UAV Relays in UAV-assisted Vehicular Networks. ICC Yuhan Su, Minghui Liwang, Seyyedali Hosseinalipour, Lianfen Huang, Huaiyu Dai
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	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 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	J	`jnl`	A Truthful Auction for Graph Job Allocation in Vehicular Cloud-assisted Networks. CoRR Zhibin Gao, Minghui Liwang, Seyyedali Hosseinalipour, Huaiyu Dai, Xianbin Wang
2020	J	`jnl`	Allocation of Computation-Intensive Graph Jobs Over Vehicular Clouds in IoV. IEEE Internet Things J. Minghui Liwang, Seyyedali Hosseinalipour, Zhibin Gao, Yuliang Tang, Lianfen Huang, Huaiyu Dai
2020	J	`jnl`	Energy-Aware Stochastic UAV-Assisted Surveillance. CoRR Seyyedali Hosseinalipour, Ali Rahmati, Do Young Eun, Huaiyu Dai
2020	B	`conf`	Energy-Efficient Beamforming and Power Control for Uplink NOMA in mmWave UAV Networks. GLOBECOM Ali Rahmati, Seyyedali Hosseinalipour, Yavuz Yapici, Ismail Güvenç, Huaiyu Dai, Arupjyoti Bhuyan
2020	—	`conf`	Energy-aware Allocation of Graph Jobs in Vehicular Cloud Computing-enabled Software-defined IoV. INFOCOM Workshops Minghui Liwang, Zhibin Gao, Seyyedali Hosseinalipour, Huaiyu Dai, Xianbin Wang
2020	J	`jnl`	Energy-aware Allocation of Graph Jobs in Vehicular Cloud Computing-enabled Software-defined IoV. CoRR Minghui Liwang, Zhibin Gao, Seyyedali Hosseinalipour, Huaiyu Dai, Xianbin Wang
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	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	J	`jnl`	Infection Analysis on Irregular Networks Through Graph Signal Processing. IEEE Trans. Netw. Sci. Eng. Seyyedali Hosseinalipour, Jie Wang, Yuanzhe Tian, Huaiyu Dai
2020	J	`jnl`	Interference Avoidance Position Planning in Dual-Hop and Multi-Hop UAV Relay Networks. IEEE Trans. Wirel. Commun. Seyyedali Hosseinalipour, Ali Rahmati, Huaiyu Dai
2020	—	`conf`	Lifetime Maximization for UAV-assisted Data Gathering Networks in the Presence of Jamming. SPAWC Ali Rahmati, Seyyedali Hosseinalipour, Ismail Güvenç, Huaiyu Dai, Arupjyoti Bhuyan
2020	J	`jnl`	Lifetime Maximization for UAV-assisted Data Gathering Networks in the Presence of Jamming. CoRR Ali Rahmati, Seyyedali Hosseinalipour, Ismail Güvenç, Huaiyu Dai, Arupjyoti Bhuyan
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	—	`conf`	Multi-Task Offloading over Vehicular Clouds under Graph-based Representation. ICC Minghui Liwang, Zhibin Gao, Seyyedali Hosseinalipour, Huaiyu Dai
2020	—	`conf`	Optimal Jammer Placement in UAV-assisted Relay Networks. ICC Seyyedali Hosseinalipour, Ali Rahmati, Huaiyu Dai
2020	J	`jnl`	Optimal Jammer Placement in UAV-assisted Relay Networks. CoRR Seyyedali Hosseinalipour, Ali Rahmati, Huaiyu Dai
2020	J	`jnl`	Power-Aware Allocation of Graph Jobs in Geo-Distributed Cloud Networks. IEEE Trans. Parallel Distributed Syst. Seyyedali Hosseinalipour, Anuj K. Nayak, Huaiyu Dai
2020	J	`jnl`	Prevention and Mitigation of Catastrophic Failures in Demand-Supply Interdependent Networks. IEEE Trans. Netw. Sci. Eng. Seyyedali Hosseinalipour, Jiayu Mao, Do Young Eun, Huaiyu Dai
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	J	`jnl`	Allocation of Computation-Intensive Graph Jobs over Vehicular Clouds. CoRR Minghui Liwang, Seyyedali Hosseinalipour, Zhibin Gao, Yuliang Tang, Lianfen Huang, Huaiyu Dai
2019	J	`jnl`	Dynamic Interference Management for UAV-Assisted Wireless Networks. CoRR Ali Rahmati, Seyyedali Hosseinalipour, Yavuz Yapici, Xiaofan He, Ismail Güvenç, Huaiyu Dai, Arupjyoti Bhuyan
2019	J	`jnl`	Interference Avoidance Position Planning in Dual-hop and Multi-hop UAV Relay Networks. CoRR Seyyedali Hosseinalipour, Ali Rahmati, Huaiyu Dai
2019	—	`conf`	Interference Avoidance Position Planning in UAV-Assisted Wireless Communication. ICC Seyyedali Hosseinalipour, Ali Rahmati, Huaiyu Dai
2019	J	`jnl`	Interference Avoidance Position Planning in UAV-assisted Wireless Communication. CoRR Seyyedali Hosseinalipour, Ali Rahmati, Huaiyu Dai
2019	B	`conf`	Interference Avoidance in UAV-Assisted Networks: Joint 3D Trajectory Design and Power Allocation. GLOBECOM Ali Rahmati, Seyyedali Hosseinalipour, Yavuz Yapici, Xiaofan He, Ismail Güvenç, Huaiyu Dai, Arupjyoti Bhuyan
2019	J	`jnl`	Interference Avoidance in UAV-Assisted Networks: Joint 3D Trajectory Design and Power Allocation. CoRR Ali Rahmati, Seyyedali Hosseinalipour, Yavuz Yapici, Xiaofan He, Ismail Güvenç, Huaiyu Dai, Arupjyoti Bhuyan
2019	J	`jnl`	Multi-Task Offloading over Vehicular Clouds under Graph-based Representation. CoRR Minghui Liwang, Zhibin Gao, Seyyedali Hosseinalipour, Huaiyu Dai
2019	—	`conf`	Optimal Time Allocation in VANETs Advertising: A Price-Based Approach using Stacklberg Game. ICC Ali Rahmati, Seyyedali Hosseinalipour, Huaiyu Dai
2019	J	`jnl`	Optimal Time Allocation in VANETs Advertising: A Price-based Approach using Stackelberg Game. CoRR Ali Rahmati, Seyyedali Hosseinalipour, Huaiyu Dai
2019	J	`jnl`	Prevention and Mitigation of Catastrophic Failures in Demand-Supply Interdependent Networks. CoRR Seyyedali Hosseinalipour, Jiayu Mao, Do Young Eun, Huaiyu Dai
2019	A*	`conf`	Smart Information Spreading for Opinion Maximization in Social Networks. INFOCOM Anuj K. Nayak, Seyyedali Hosseinalipour, Huaiyu Dai
2019	J	`jnl`	Smart Information Spreading for Opinion Maximization in Social Networks. CoRR Anuj K. Nayak, Seyyedali Hosseinalipour, Huaiyu Dai
2018	J	`jnl`	A Two-Stage Auction Mechanism for Cloud Resource Allocation. CoRR Seyyedali Hosseinalipour, Huaiyu Dai
2018	J	`jnl`	Allocation of Graph Jobs in Geo-Distributed Cloud Networks. CoRR Seyyedali Hosseinalipour, Anuj K. Nayak, Huaiyu Dai
2018	J	`jnl`	Infection Analysis on Irregular Networks through Graph Signal Processing. CoRR Seyyedali Hosseinalipour, Jie Wang, Yuanzhe Tian, Huaiyu Dai
2018	J	`jnl`	Performance of Möbius Interleavers for Turbo Codes. Wirel. Pers. Commun. Seyyedali Hosseinalipour, Amin Sakzad, Mohammad-Reza (Rafsanjani) Sadeghi
2017	J	`jnl`	Designing Optimal Interlink Patterns to Maximize Robustness of Interdependent Networks Against Cascading Failures. IEEE Trans. Commun. Srinjoy Chattopadhyay, Huaiyu Dai, Do Young Eun, Seyyedali Hosseinalipour
2017	B	`conf`	Detection of Infections Using Graph Signal Processing in Heterogeneous Networks. GLOBECOM Seyyedali Hosseinalipour, Jie Wang, Huaiyu Dai, Wenye Wang
2017	B	`conf`	Dynamic Advertising in VANETs Using Repeated Auctions. GLOBECOM Anuj K. Nayak, Seyyedali Hosseinalipour, Huaiyu Dai
2017	—	`conf`	Options-based sequential auctions for dynamic cloud resource allocation. ICC Seyyedali Hosseinalipour, Huaiyu Dai
2017	B	`conf`	Real-Time Strategy Selection for Mobile Advertising in VANETs. GLOBECOM Seyyedali Hosseinalipour, Anuj K. Nayak, Huaiyu Dai
2015	—	`conf`	Minimum free distance of CCSDS turbo encoders under (Truncated) Möbius interleavers. IWCIT Seyyedali Hosseinalipour, Amin Sakzad, Mohammad-Reza Sadeghi