Salman Avestimehr

226 papers A* 21A 6B 9C 3Misc 8Journal 148Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ATHENA: Adaptive Test-Time Steering for Improving Count Fidelity in Diffusion Models. CoRR Mohammad Shahab Sepehri, Asal Mehradfar, Berk Tinaz, Salman Avestimehr, Mahdi Soltanolkotabi
2026	J	`jnl`	EM-Aware Physical Synthesis: Neural Inductor Modeling and Intelligent Placement & Routing for RF Circuits. CoRR Yilun Huang, Asal Mehradfar, Salman Avestimehr, Hamidreza Aghasi
2026	A*	`conf`	GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation. AAAI Sungmin Kang, Jisoo Kim, Salman Avestimehr, Sunwoo Lee
2026	J	`jnl`	Hair-Trigger Alignment: Black-Box Evaluation Cannot Guarantee Post-Update Alignment. CoRR Yavuz Faruk Bakman, Duygu Nur Yaldiz, Salman Avestimehr, Sai Praneeth Karimireddy
2025	J	`jnl`	Bridging the Safety Gap: A Guardrail Pipeline for Trustworthy LLM Inferences. CoRR Shanshan Han, Salman Avestimehr, Chaoyang He
2025	J	`jnl`	Clustering and Median Aggregation Improve Differentially Private Inference. CoRR Kareem Amin, Salman Avestimehr, Sara Babakniya, Alex Bie, Weiwei Kong, Natalia Ponomareva, Umar Syed
2025	—	`conf`	Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun Rebus Art Understanding. ACL (Findings) Tuo Zhang, Tiantian Feng, Yibin Ni, Mengqin Cao, Ruying Liu, Kiana Avestimehr, Katharine Butler, Yanjun Weng, Mi Zhang, Shrikanth Narayanan, Salman Avestimehr
2025	C	`conf`	CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction. ICBC Mohammad Shahab Sepehri, Asal Mehradfar, Mahdi Soltanolkotabi, Salman Avestimehr
2025	J	`jnl`	CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction. CoRR Mohammad Shahab Sepehri, Asal Mehradfar, Mahdi Soltanolkotabi, Salman Avestimehr
2025	—	`conf`	Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs. NAACL (Findings) Duygu Nur Yaldiz, Yavuz Faruk Bakman, Baturalp Buyukates, Chenyang Tao, Anil Ramakrishna, Dimitrios Dimitriadis, Jieyu Zhao, Salman Avestimehr
2025	J	`jnl`	Enabling Weak Client Participation via On-device Knowledge Distillation in Heterogenous Federated Learning. CoRR Jihyun Lim, Junhyuk Jo, Tuo Zhang, Salman Avestimehr, Sunwoo Lee
2025	J	`jnl`	FALCON: An ML Framework for Fully Automated Layout-Constrained Analog Circuit Design. CoRR Asal Mehradfar, Xuzhe Zhao, Yilun Huang, Emir Ceyani, Yankai Yang, Shihao Han, Hamidreza Aghasi, Salman Avestimehr
2025	A	`conf`	FedGrAINS: Personalized SubGraph Federated Learning with AdaptIve Neighbor Sampling. SDM Emir Ceyani, Han Xie, Baturalp Buyukates, Carl Yang, Salman Avestimehr
2025	J	`jnl`	FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling. CoRR Emir Ceyani, Han Xie, Baturalp Buyukates, Carl Yang, Salman Avestimehr
2025	—	`conf`	FedKDD 2025: The 2025 International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. KDD (2) Carl Yang, Guancheng Wan, Zhuangdi Zhu, Zheng Xu, Junyuan Hong, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou
2025	J	`jnl`	GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation. CoRR Sungmin Kang, Jisoo Kim, Salman Avestimehr, Sunwoo Lee
2025	—	`conf`	GPT-FL: Generative Pre-trained Model-Assisted Federated Learning. CVPR Workshops Tuo Zhang, Tiantian Feng, Samiul Alam, Dimitrios Dimitriadis, Sunwoo Lee, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr
2025	A*	`conf`	GeoToken: Hierarchical Geolocalization of Images via Next Token Prediction. ICDM Narges Ghasemi, Amir Ziashahabi, Salman Avestimehr, Cyrus Shahabi
2025	J	`jnl`	GeoToken: Hierarchical Geolocalization of Images via Next Token Prediction. CoRR Narges Ghasemi, Amir Ziashahabi, Salman Avestimehr, Cyrus Shahabi
2025	—	`conf`	HARMONY: Hidden Activation Representations and Model Output-Aware Uncertainty Estimation for Vision-Language Models. CVPR Workshops Erum Mushtaq, Zalan Fabian, Yavuz Faruk Bakman, Anil Ramakrishna, Mahdi Soltanolkotabi, Salman Avestimehr
2025	J	`jnl`	HARMONY: Hidden Activation Representations and Model Output-Aware Uncertainty Estimation for Vision-Language Models. CoRR Erum Mushtaq, Zalan Fabian, Yavuz Faruk Bakman, Anil Ramakrishna, Mahdi Soltanolkotabi, Salman Avestimehr
2025	J	`jnl`	LANTERN: A Machine Learning Framework for Lipid Nanoparticle Transfection Efficiency Prediction. CoRR Asal Mehradfar, Mohammad Shahab Sepehri, José Miguel Hernández-Lobato, Glen S. Kwon, Mahdi Soltanolkotabi, Salman Avestimehr, Morteza Rasoulianboroujeni
2025	J	`jnl`	Leveraging Uncertainty Estimation for Efficient LLM Routing. CoRR Tuo Zhang, Asal Mehradfar, Dimitrios Dimitriadis, Salman Avestimehr
2025	A*	`conf`	MobiZO: Enabling Efficient LLM Fine-Tuning at the Edge via Inference Engines. EMNLP Lei Gao, Amir Ziashahabi, Yue Niu, Salman Avestimehr, Murali Annavaram
2025	B	`conf`	ModalityMirror: Enhancing Audio Classification in Modality Heterogeneity Federated Learning via Multimodal Distillation. NOSSDAV Tiantian Feng, Tuo Zhang, Salman Avestimehr, Shrikanth Narayanan
2025	J	`jnl`	OSMGen: Highly Controllable Satellite Image Synthesis using OpenStreetMap Data. CoRR Amir Ziashahabi, Narges Ghasemi, Sajjad Shahabi, John Krumm, Salman Avestimehr, Cyrus Shahabi
2025	—	`conf`	Reconsidering LLM Uncertainty Estimation Methods in the Wild. ACL (1) Yavuz Faruk Bakman, Duygu Nur Yaldiz, Sungmin Kang, Tuo Zhang, Baturalp Buyukates, Salman Avestimehr, Sai Praneeth Karimireddy
2025	J	`jnl`	Reconsidering LLM Uncertainty Estimation Methods in the Wild. CoRR Yavuz Faruk Bakman, Duygu Nur Yaldiz, Sungmin Kang, Tuo Zhang, Baturalp Buyukates, Salman Avestimehr, Sai Praneeth Karimireddy
2025	J	`jnl`	Reject Only Critical Tokens: Pivot-Aware Speculative Decoding. CoRR Amir Ziashahabi, Yavuz Faruk Bakman, Duygu Nur Yaldiz, Mostafa El-Khamy, Sai Praneeth Karimireddy, Salman Avestimehr
2025	J	`jnl`	Supervised Learning for Analog and RF Circuit Design: Benchmarks and Comparative Insights. CoRR Asal Mehradfar, Xuzhe Zhao, Yue Niu, Sara Babakniya, Mahdi Alesheikh, Hamidreza Aghasi, Salman Avestimehr
2025	J	`jnl`	The Federation Strikes Back: A Survey of Federated Learning Privacy Attacks, Defenses, Applications, and Policy Landscape. ACM Comput. Surv. Joshua C. Zhao, Saurabh Bagchi, Salman Avestimehr, Kevin S. Chan, Somali Chaterji, Dimitris Dimitriadis, Jiacheng Li, Ninghui Li, Arash Nourian, Holger Roth
2025	J	`jnl`	Toward Super Agent System with Hybrid AI Routers. CoRR Yuhang Yao, Haixin Wang, Yibo Chen, Jiawen Wang, Min Chang Jordan Ren, Bosheng Ding, Salman Avestimehr, Chaoyang He
2025	—	`conf`	TruthTorchLM: A Comprehensive Library for Predicting Truthfulness in LLM Outputs. EMNLP (System Demonstrations) Duygu Nur Yaldiz, Yavuz Faruk Bakman, Sungmin Kang, Alperen Özis, Hayrettin Eren Yildiz, Mitash Ashish Shah, Zhiqi Huang, Anoop Kumar, Alfy Samuel, Daben Liu, Sai Praneeth Karimireddy, Salman Avestimehr
2025	J	`jnl`	TruthTorchLM: A Comprehensive Library for Predicting Truthfulness in LLM Outputs. CoRR Duygu Nur Yaldiz, Yavuz Faruk Bakman, Sungmin Kang, Alperen Özis, Hayrettin Eren Yildiz, Mitash Ashish Shah, Zhiqi Huang, Anoop Kumar, Alfy Samuel, Daben Liu, Sai Praneeth Karimireddy, Salman Avestimehr
2025	J	`jnl`	Uncertainty Quantification for Hallucination Detection in Large Language Models: Foundations, Methodology, and Future Directions. CoRR Sungmin Kang, Yavuz Faruk Bakman, Duygu Nur Yaldiz, Baturalp Buyukates, Salman Avestimehr
2025	J	`jnl`	Uncertainty as Feature Gaps: Epistemic Uncertainty Quantification of LLMs in Contextual Question-Answering. CoRR Yavuz Faruk Bakman, Sungmin Kang, Zhiqi Huang, Duygu Nur Yaldiz, Catarina G. Belém, Chenyang Zhu, Anoop Kumar, Alfy Samuel, Salman Avestimehr, Daben Liu, Sai Praneeth Karimireddy
2024	J	`jnl`	AICircuit: A Multi-Level Dataset and Benchmark for AI-Driven Analog Integrated Circuit Design. CoRR Asal Mehradfar, Xuzhe Zhao, Yue Niu, Sara Babakniya, Mahdi Alesheikh, Hamidreza Aghasi, Salman Avestimehr
2024	J	`jnl`	ATP: Enabling Fast LLM Serving via Attention on Top Principal Keys. CoRR Yue Niu, Saurav Prakash, Salman Avestimehr
2024	A*	`conf`	All Rivers Run to the Sea: Private Learning with Asymmetric Flows. CVPR Yue Niu, Ramy E. Ali, Saurav Prakash, Salman Avestimehr
2024	J	`jnl`	Alopex: A Computational Framework for Enabling On-Device Function Calls with LLMs. CoRR Yide Ran, Zhaozhuo Xu, Yuhang Yao, Zijian Hu, Shanshan Han, Han Jin, Alay Dilipbhai Shah, Jipeng Zhang, Dimitris Stripelis, Tong Zhang, Salman Avestimehr, Chaoyang He
2024	J	`jnl`	Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun Rebus Art Understanding. CoRR Tuo Zhang, Tiantian Feng, Yibin Ni, Mengqin Cao, Ruying Liu, Katharine Butler, Yanjun Weng, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr
2024	—	`conf`	CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning. ECCV (80) Erum Mushtaq, Duygu Nur Yaldiz, Yavuz Faruk Bakman, Jie Ding, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr
2024	J	`jnl`	CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning. CoRR Erum Mushtaq, Duygu Nur Yaldiz, Yavuz Faruk Bakman, Jie Ding, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr
2024	J	`jnl`	Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs. CoRR Duygu Nur Yaldiz, Yavuz Faruk Bakman, Baturalp Buyukates, Chenyang Tao, Anil Ramakrishna, Dimitrios Dimitriadis, Salman Avestimehr
2024	J	`jnl`	Edge Private Graph Neural Networks with Singular Value Perturbation. CoRR Tingting Tang, Yue Niu, Salman Avestimehr, Murali Annavaram
2024	J	`jnl`	Edge Private Graph Neural Networks with Singular Value Perturbation. Proc. Priv. Enhancing Technol. Tingting Tang, Yue Niu, Salman Avestimehr, Murali Annavaram
2024	J	`jnl`	Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training. CoRR Sunwoo Lee, Tuo Zhang, Saurav Prakash, Yue Niu, Salman Avestimehr
2024	J	`jnl`	Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training. IEEE Trans. Mob. Comput. Sunwoo Lee, Tuo Zhang, Saurav Prakash, Yue Niu, Salman Avestimehr
2024	J	`jnl`	Enabling Resource-Efficient On-Device Fine-Tuning of LLMs Using Only Inference Engines. CoRR Lei Gao, Amir Ziashahabi, Yue Niu, Salman Avestimehr, Murali Annavaram
2024	J	`jnl`	Erratum to "LightVeriFL: A Lightweight and Verifiable Secure Aggregation for Federated Learning". IEEE J. Sel. Areas Inf. Theory Baturalp Buyukates, Jinhyun So, Hessam Mahdavifar, Salman Avestimehr
2024	—	`conf`	Ethos: Rectifying Language Models in Orthogonal Parameter Space. NAACL-HLT (Findings) Lei Gao, Yue Niu, Tingting Tang, Salman Avestimehr, Murali Annavaram
2024	J	`jnl`	Ethos: Rectifying Language Models in Orthogonal Parameter Space. CoRR Lei Gao, Yue Niu, Tingting Tang, Salman Avestimehr, Murali Annavaram
2024	J	`jnl`	FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things. J. Data-centric Mach. Learn. Res. Samiul Alam, Tuo Zhang, Tiantian Feng, Hui Shen, Zhichao Cao, Dong Zhao, JeongGil Ko, Kiran K. Somasundaram, Shrikanth Narayanan, Salman Avestimehr, Mi Zhang
2024	A*	`conf`	FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. KDD Junyuan Hong, Carl Yang, Zhuangdi Zhu, Zheng Xu, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou
2024	A*	`conf`	FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs. KDD Shanshan Han, Baturalp Buyukates, Zijian Hu, Han Jin, Weizhao Jin, Lichao Sun, Xiaoyang Wang, Wenxuan Wu, Chulin Xie, Yuhang Yao, Kai Zhang, Qifan Zhang, Yuhui Zhang, Carlee Joe-Wong, Salman Avestimehr, Chaoyang He
2024	J	`jnl`	Federated Learning Privacy: Attacks, Defenses, Applications, and Policy Landscape - A Survey. CoRR Joshua C. Zhao, Saurabh Bagchi, Salman Avestimehr, Kevin S. Chan, Somali Chaterji, Dimitris Dimitriadis, Jiacheng Li, Ninghui Li, Arash Nourian, Holger R. Roth
2024	A*	`conf`	Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning. ICLR Yavuz Faruk Bakman, Duygu Nur Yaldiz, Yahya H. Ezzeldin, Salman Avestimehr
2024	J	`jnl`	Fox-1 Technical Report. CoRR Zijian Hu, Jipeng Zhang, Rui Pan, Zhaozhuo Xu, Shanshan Han, Han Jin, Alay Dilipbhai Shah, Dimitris Stripelis, Yuhang Yao, Salman Avestimehr, Chaoyang He, Tong Zhang
2024	B	`conf`	Frequency Domain Diffusion Model with Scale-Dependent Noise Schedule. ISIT Amir Ziashahabi, Baturalp Buyukates, Artan Sheshmani, Yi-Zhuang You, Salman Avestimehr
2024	J	`jnl`	Hawk: Accurate and Fast Privacy-Preserving Machine Learning Using Secure Lookup Table Computation. CoRR Hamza Saleem, Amir Ziashahabi, Muhammad Naveed, Salman Avestimehr
2024	J	`jnl`	Hawk: Accurate and Fast Privacy-Preserving Machine Learning Using Secure Lookup Table Computation. Proc. Priv. Enhancing Technol. Hamza Saleem, Amir Ziashahabi, Muhammad Naveed, Salman Avestimehr
2024	J	`jnl`	LightVeriFL: A Lightweight and Verifiable Secure Aggregation for Federated Learning. IEEE J. Sel. Areas Inf. Theory Baturalp Buyukates, Jinhyun So, Hessam Mahdavifar, Salman Avestimehr
2024	A*	`conf`	Loki: Large-scale Data Reconstruction Attack against Federated Learning through Model Manipulation. SP Joshua C. Zhao, Atul Sharma, Ahmed Roushdy Elkordy, Yahya H. Ezzeldin, Salman Avestimehr, Saurabh Bagchi
2024	—	`conf`	MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs. ACL (1) Yavuz Faruk Bakman, Duygu Nur Yaldiz, Baturalp Buyukates, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr
2024	J	`jnl`	MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs. CoRR Yavuz Faruk Bakman, Duygu Nur Yaldiz, Baturalp Buyukates, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr
2024	J	`jnl`	Maverick-Aware Shapley Valuation for Client Selection in Federated Learning. CoRR Mengwei Yang, Ismat Jarin, Baturalp Buyukates, Salman Avestimehr, Athina Markopoulou
2024	J	`jnl`	ModalityMirror: Improving Audio Classification in Modality Heterogeneity Federated Learning with Multimodal Distillation. CoRR Tiantian Feng, Tuo Zhang, Salman Avestimehr, Shrikanth S. Narayanan
2024	J	`jnl`	One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis. Medical Image Anal. Onat Dalmaz, Muhammad Usama Mirza, Gökberk Elmas, Muzaffer Özbey, Salman Ul Hassan Dar, Emir Ceyani, Kader Karli Oguz, Salman Avestimehr, Tolga Çukur
2024	J	`jnl`	PolyRouter: A Multi-LLM Querying System. CoRR Dimitris Stripelis, Zijian Hu, Jipeng Zhang, Zhaozhuo Xu, Alay Dilipbhai Shah, Han Jin, Yuhang Yao, Salman Avestimehr, Chaoyang He
2024	B	`conf`	Predicting Uncertainty of Generative LLMs with MARS: Meaning-Aware Response Scoring. ISIT Yavuz Faruk Bakman, Duygu Nur Yaldiz, Baturalp Buyukates, Salman Avestimehr, Chenyang Tao, Dimitrios Dimitriadis
2024	—	`conf`	Revisiting OPRO: The Limitations of Small-Scale LLMs as Optimizers. ACL (Findings) Tuo Zhang, Jinyue Yuan, Salman Avestimehr
2024	J	`jnl`	Revisiting OPRO: The Limitations of Small-Scale LLMs as Optimizers. CoRR Tuo Zhang, Jinyue Yuan, Salman Avestimehr
2024	—	`conf`	ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency. EMNLP (Industry Track) Yuhang Yao, Han Jin, Alay Dilipbhai Shah, Shanshan Han, Zijian Hu, Dimitris Stripelis, Yide Ran, Zhaozhuo Xu, Salman Avestimehr, Chaoyang He
2024	J	`jnl`	ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency. CoRR Yuhang Yao, Han Jin, Alay Dilipbhai Shah, Shanshan Han, Zijian Hu, Yide Ran, Dimitris Stripelis, Zhaozhuo Xu, Salman Avestimehr, Chaoyang He
2024	—	`conf`	TensorOpera Router: A Multi-Model Router for Efficient LLM Inference. EMNLP (Industry Track) Dimitris Stripelis, Zhaozhuo Xu, Zijian Hu, Alay Dilipbhai Shah, Han Jin, Yuhang Yao, Jipeng Zhang, Tong Zhang, Salman Avestimehr, Chaoyang He
2023	A*	`conf`	A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks. NeurIPS Sara Babakniya, Zalan Fabian, Chaoyang He, Mahdi Soltanolkotabi, Salman Avestimehr
2023	J	`jnl`	A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks. CoRR Sara Babakniya, Zalan Fabian, Chaoyang He, Mahdi Soltanolkotabi, Salman Avestimehr
2023	J	`jnl`	Achieving small-batch accuracy with large-batch scalability via Hessian-aware learning rate adjustment. Neural Networks Sunwoo Lee, Chaoyang He, Salman Avestimehr
2023	J	`jnl`	All Rivers Run to the Sea: Private Learning with Asymmetric Flows. CoRR Yue Niu, Ramy E. Ali, Saurav Prakash, Salman Avestimehr
2023	J	`jnl`	Distributed Architecture Search Over Heterogeneous Distributions. Trans. Mach. Learn. Res. Erum Mushtaq, Chaoyang He, Jie Ding, Salman Avestimehr
2023	J	`jnl`	Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory. CoRR Sara Babakniya, Zalan Fabian, Chaoyang He, Mahdi Soltanolkotabi, Salman Avestimehr
2023	J	`jnl`	FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things. CoRR Samiul Alam, Tuo Zhang, Tiantian Feng, Hui Shen, Zhichao Cao, Dong Zhao, JeongGil Ko, Kiran K. Somasundaram, Shrikanth S. Narayanan, Salman Avestimehr, Mi Zhang
2023	Misc	`conf`	FedAudio: A Federated Learning Benchmark for Audio Tasks. ICASSP Tuo Zhang, Tiantian Feng, Samiul Alam, Sunwoo Lee, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr
2023	J	`jnl`	FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training. CoRR Zhenheng Tang, Xiaowen Chu, Ryan Yide Ran, Sunwoo Lee, Shaohuai Shi, Yonggang Zhang, Yuxin Wang, Alex Qiaozhong Liang, Salman Avestimehr, Chaoyang He
2023	J	`jnl`	FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System. CoRR Weizhao Jin, Yuhang Yao, Shanshan Han, Carlee Joe-Wong, Srivatsan Ravi, Salman Avestimehr, Chaoyang He
2023	J	`jnl`	FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs. CoRR Shanshan Han, Baturalp Buyukates, Zijian Hu, Han Jin, Weizhao Jin, Lichao Sun, Xiaoyang Wang, Chulin Xie, Kai Zhang, Qifan Zhang, Yuhui Zhang, Chaoyang He, Salman Avestimehr
2023	J	`jnl`	FedMultimodal: A Benchmark For Multimodal Federated Learning. CoRR Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, Shrikanth Narayanan
2023	A*	`conf`	FedMultimodal: A Benchmark for Multimodal Federated Learning. KDD Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, Shrikanth Narayanan
2023	J	`jnl`	Federated Alternate Training (FAT): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging. CoRR Erum Mushtaq, Yavuz Faruk Bakman, Jie Ding, Salman Avestimehr
2023	—	`conf`	Federated Alternate Training (Fat): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging. ISBI Erum Mushtaq, Yavuz Faruk Bakman, Jie Ding, Salman Avestimehr
2023	J	`jnl`	Federated Analytics: A survey. CoRR Ahmed Roushdy Elkordy, Yahya H. Ezzeldin, Shanshan Han, Shantanu Sharma, Chaoyang He, Sharad Mehrotra, Salman Avestimehr
2023	J	`jnl`	Federated Learning of Generative Image Priors for MRI Reconstruction. IEEE Trans. Medical Imaging Gökberk Elmas, Salman Ul Hassan Dar, Yilmaz Korkmaz, Emir Ceyani, Burak Susam, Muzaffer Özbey, Salman Avestimehr, Tolga Çukur
2023	J	`jnl`	Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning. CoRR Yavuz Faruk Bakman, Duygu Nur Yaldiz, Yahya H. Ezzeldin, Salman Avestimehr
2023	J	`jnl`	GPT-FL: Generative Pre-trained Model-Assisted Federated Learning. CoRR Tuo Zhang, Tiantian Feng, Samiul Alam, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr
2023	J	`jnl`	How Much Privacy Does Federated Learning with Secure Aggregation Guarantee? Proc. Priv. Enhancing Technol. Ahmed Roushdy Elkordy, Jiang Zhang, Yahya H. Ezzeldin, Konstantinos Psounis, Salman Avestimehr
2023	J	`jnl`	Kick Bad Guys Out! Zero-Knowledge-Proof-Based Anomaly Detection in Federated Learning. CoRR Shanshan Han, Wenxuan Wu, Baturalp Buyukates, Weizhao Jin, Yuhang Yao, Qifan Zhang, Salman Avestimehr, Chaoyang He
2023	J	`jnl`	Overcoming Resource Constraints in Federated Learning: Large Models Can Be Trained with only Weak Clients. Trans. Mach. Learn. Res. Yue Niu, Saurav Prakash, Souvik Kundu, Sunwoo Lee, Salman Avestimehr
2023	J	`jnl`	Partial model averaging in Federated Learning: Performance guarantees and benefits. Neurocomputing Sunwoo Lee, Anit Kumar Sahu, Chaoyang He, Salman Avestimehr
2023	C	`conf`	Performance and Failure Cause Estimation for Machine Learning Systems in the Wild. ICVS Xiruo Liu, Furqan Khan, Yue Niu, Pradeep Natarajan, Rinat Khaziev, Salman Avestimehr, Prateek Singhal
2023	—	`conf`	Proof-of-Contribution-Based Design for Collaborative Machine Learning on Blockchain. DAPPS Baturalp Buyukates, Chaoyang He, Shanshan Han, Zhiyong Fang, Yupeng Zhang, Jieyi Long, Ali Farahanchi, Salman Avestimehr
2023	J	`jnl`	Proof-of-Contribution-Based Design for Collaborative Machine Learning on Blockchain. CoRR Baturalp Buyukates, Chaoyang He, Shanshan Han, Zhiyong Fang, Yupeng Zhang, Jieyi Long, Ali Farahanchi, Salman Avestimehr
2023	—	`conf`	PyTorch RPC: Distributed Deep Learning Built on Tensor-Optimized Remote Procedure Calls. MLSys Shen Li, Pritam Damania, Luca Wehrstedt, Rohan Varma, Omkar Salpekar, Pavel Belevich, Howard Huang, Yanli Zhao, Lucas Hosseini, Wanchao Liang, Hongyi Jia, Shihao Xu, Satendra Gera, Alisson G. Azzolini, Guoqiang Jerry Chen, Zachary DeVito, Chaoyang He, Amir Ziashahabi, Alban Desmaison, Edward Z. Yang, Gregory Chanan, Brian Vaughan, Manoj Krishnan, Joseph S. Spisak, Salman Avestimehr, Soumith Chintala
2023	Misc	`conf`	Quantifying Catastrophic Forgetting in Continual Federated Learning. ICASSP Christophe Dupuy, Jimit Majmudar, Jixuan Wang, Tanya G. Roosta, Rahul Gupta, Clement Chung, Jie Ding, Salman Avestimehr
2023	J	`jnl`	Revisiting Sparsity Hunting in Federated Learning: Why does Sparsity Consensus Matter? Trans. Mach. Learn. Res. Sara Babakniya, Souvik Kundu, Saurav Prakash, Yue Niu, Salman Avestimehr
2023	J	`jnl`	SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models. CoRR Sara Babakniya, Ahmed Roushdy Elkordy, Yahya H. Ezzeldin, Qingfeng Liu, Kee-Bong Song, Mostafa El-Khamy, Salman Avestimehr
2023	J	`jnl`	Secure Aggregation in Federated Learning is not Private: Leaking User Data at Large Scale through Model Modification. CoRR Joshua C. Zhao, Atul Sharma, Ahmed Roushdy Elkordy, Yahya H. Ezzeldin, Salman Avestimehr, Saurabh Bagchi
2023	J	`jnl`	Secure Federated Learning against Model Poisoning Attacks via Client Filtering. CoRR Duygu Nur Yaldiz, Tuo Zhang, Salman Avestimehr
2023	A*	`conf`	The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning. CVPR Joshua C. Zhao, Ahmed Roushdy Elkordy, Atul Sharma, Yahya H. Ezzeldin, Salman Avestimehr, Saurabh Bagchi
2023	J	`jnl`	The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning. CoRR Joshua C. Zhao, Ahmed Roushdy Elkordy, Atul Sharma, Yahya H. Ezzeldin, Salman Avestimehr, Saurabh Bagchi
2023	—	`conf`	TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training. CVPR Workshops Tuo Zhang, Lei Gao, Sunwoo Lee, Mi Zhang, Salman Avestimehr
2023	J	`jnl`	TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training. CoRR Tuo Zhang, Lei Gao, Sunwoo Lee, Mi Zhang, Salman Avestimehr
2023	J	`jnl`	mL-BFGS: A Momentum-based L-BFGS for Distributed Large-Scale Neural Network Optimization. CoRR Yue Niu, Zalan Fabian, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr
2023	J	`jnl`	mL-BFGS: A Momentum-based L-BFGS for Distributed Large-scale Neural Network Optimization. Trans. Mach. Learn. Res. Yue Niu, Zalan Fabian, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr
2022	J	`jnl`	3LegRace: Privacy-Preserving DNN Training over TEEs and GPUs. Proc. Priv. Enhancing Technol. Yue Niu, Ramy E. Ali, Salman Avestimehr
2022	A	`conf`	Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning. IPDPS Tingting Tang, Ramy E. Ali, Hanieh Hashemi, Tynan Gangwani, Salman Avestimehr, Murali Annavaram
2022	J	`jnl`	Basil: A Fast and Byzantine-Resilient Approach for Decentralized Training. IEEE J. Sel. Areas Commun. Ahmed Roushdy Elkordy, Saurav Prakash, Salman Avestimehr
2022	—	`conf`	Experimenting FedML and NVFLARE for Federated Tumor Segmentation Challenge. BrainLes@MICCAI (2) Yaying Shi, Hongjian Gao, Salman Avestimehr, Yonghong Yan
2022	A*	`conf`	FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. NeurIPS Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux
2022	J	`jnl`	FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. CoRR Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux
2022	J	`jnl`	FedAudio: A Federated Learning Benchmark for Audio Tasks. CoRR Tuo Zhang, Tiantian Feng, Samiul Alam, Sunwoo Lee, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr
2022	—	`conf`	FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks. NAACL-HLT (Findings) Bill Yuchen Lin, Chaoyang He, Zihang Ze, Hulin Wang, Yufen Hua, Christophe Dupuy, Rahul Gupta, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr
2022	J	`jnl`	FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations. CoRR Jinhyun So, Kevin Hsieh, Behnaz Arzani, Shadi A. Noghabi, Salman Avestimehr, Ranveer Chandra
2022	A	`conf`	Federated K-Private Set Intersection. CIKM Ahmed Roushdy Elkordy, Yahya H. Ezzeldin, Salman Avestimehr
2022	Misc	`conf`	Federated Learning Challenges and Opportunities: An Outlook. ICASSP Jie Ding, Eric W. Tramel, Anit Kumar Sahu, Shuang Wu, Salman Avestimehr, Tao Zhang
2022	J	`jnl`	Federated Learning Challenges and Opportunities: An Outlook. CoRR Jie Ding, Eric W. Tramel, Anit Kumar Sahu, Shuang Wu, Salman Avestimehr, Tao Zhang
2022	J	`jnl`	Federated Learning of Generative Image Priors for MRI Reconstruction. CoRR Gökberk Elmas, Salman Ul Hassan Dar, Yilmaz Korkmaz, Emir Ceyani, Burak Susam, Muzaffer Özbey, Salman Avestimehr, Tolga Çukur
2022	J	`jnl`	Federated Learning of Large Models at the Edge via Principal Sub-Model Training. CoRR Yue Niu, Saurav Prakash, Souvik Kundu, Sunwoo Lee, Salman Avestimehr
2022	—	`conf`	Federated Learning with Noisy User Feedback. NAACL-HLT Rahul Sharma, Anil Ramakrishna, Ansel MacLaughlin, Anna Rumshisky, Jimit Majmudar, Clement Chung, Salman Avestimehr, Rahul Gupta
2022	J	`jnl`	Federated Learning with Noisy User Feedback. CoRR Rahul Sharma, Anil Ramakrishna, Ansel MacLaughlin, Anna Rumshisky, Jimit Majmudar, Clement Chung, Salman Avestimehr, Rahul Gupta
2022	J	`jnl`	Federated Sparse Training: Lottery Aware Model Compression for Resource Constrained Edge. CoRR Sara Babakniya, Souvik Kundu, Saurav Prakash, Yue Niu, Salman Avestimehr
2022	J	`jnl`	Guest Editorial. IEEE J. Sel. Areas Inf. Theory Mohammad Ali Maddah-Ali, Salman Avestimehr, Ravi Tandon, Changho Suh, Ayfer Özgür, Chao Tian, Tara Javidi, Giuseppe Caire
2022	J	`jnl`	How Much Privacy Does Federated Learning with Secure Aggregation Guarantee? CoRR Ahmed Roushdy Elkordy, Jiang Zhang, Yahya H. Ezzeldin, Konstantinos Psounis, Salman Avestimehr
2022	Misc	`conf`	Learnings from Federated Learning in The Real World. ICASSP Christophe Dupuy, Tanya G. Roosta, Leo Long, Clement Chung, Rahul Gupta, Salman Avestimehr
2022	J	`jnl`	Learnings from Federated Learning in the Real world. CoRR Christophe Dupuy, Tanya G. Roosta, Leo Long, Clement Chung, Rahul Gupta, Salman Avestimehr
2022	—	`conf`	LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning. MLSys Jinhyun So, Corey J. Nolet, Chien-Sheng Yang, Songze Li, Qian Yu, Ramy E. Ali, Basak Guler, Salman Avestimehr
2022	Misc	`conf`	On The Effectiveness of Active Learning by Uncertainty Sampling in Classification of High-Dimensional Gaussian Mixture Data. ICASSP Xiaoyi Mai, Salman Avestimehr, Antonio Ortega, Mahdi Soltanolkotabi
2022	J	`jnl`	One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis. CoRR Onat Dalmaz, Muhammad Usama Mirza, Gökberk Elmas, Muzaffer Özbey, Salman Ul Hassan Dar, Emir Ceyani, Salman Avestimehr, Tolga Çukur
2022	J	`jnl`	Partial Model Averaging in Federated Learning: Performance Guarantees and Benefits. CoRR Sunwoo Lee, Anit Kumar Sahu, Chaoyang He, Salman Avestimehr
2022	J	`jnl`	Privacy in Retrieval, Computing, and Learning. IEEE J. Sel. Areas Commun. Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Ali Jafar, Ravi Tandon, Chao Tian
2022	J	`jnl`	Private Retrieval, Computing, and Learning: Recent Progress and Future Challenges. IEEE J. Sel. Areas Commun. Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Ali Jafar, Ravi Tandon, Chao Tian
2022	J	`jnl`	SMILE: Scaling Mixture-of-Experts with Efficient Bi-level Routing. CoRR Chaoyang He, Shuai Zheng, Aston Zhang, George Karypis, Trishul Chilimbi, Mahdi Soltanolkotabi, Salman Avestimehr
2022	J	`jnl`	Secure Federated Clustering. CoRR Songze Li, Sizai Hou, Baturalp Buyukates, Salman Avestimehr
2022	J	`jnl`	Secure Federated Clustering. IACR Cryptol. ePrint Arch. Songze Li, Sizai Hou, Baturalp Buyukates, Salman Avestimehr
2022	A*	`conf`	Self-Aware Personalized Federated Learning. NeurIPS Huili Chen, Jie Ding, Eric W. Tramel, Shuang Wu, Anit Kumar Sahu, Salman Avestimehr, Tao Zhang
2022	J	`jnl`	Self-Aware Personalized Federated Learning. CoRR Huili Chen, Jie Ding, Eric W. Tramel, Shuang Wu, Anit Kumar Sahu, Salman Avestimehr, Tao Zhang
2022	A*	`conf`	SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data. AAAI Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr
2022	A	`conf`	The 1st International Workshop on Federated Learning with Graph Data (FedGraph). CIKM Carl Yang, Xiaoxiao Li, Nathalie Baracaldo, Neil Shah, Chaoyang He, Lingjuan Lyu, Lichao Sun, Salman Avestimehr
2022	J	`jnl`	The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning. CoRR Romain Cosentino, Sarath Shekkizhar, Mahdi Soltanolkotabi, Salman Avestimehr, Antonio Ortega
2022	J	`jnl`	Toward a Geometrical Understanding of Self-supervised Contrastive Learning. CoRR Romain Cosentino, Anirvan M. Sengupta, Salman Avestimehr, Mahdi Soltanolkotabi, Antonio Ortega, Theodore L. Willke, Mariano Tepper
2022	C	`conf`	What If Kidney Tumor Segmentation Challenge (KiTS19) Never Happened. ICMLA Erum Mushtaq, Jie Ding, Salman Avestimehr
2021	J	`jnl`	A Field Guide to Federated Optimization. CoRR Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Agüera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas N. Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horváth, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecný, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtárik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake E. Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu
2021	—	`conf`	An Ensemble Approach to Automatic Brain Tumor Segmentation. BrainLes@MICCAI (2) Yaying Shi, Christian Micklisch, Erum Mushtaq, Salman Avestimehr, Yonghong Yan, Xiaodong Zhang
2021	J	`jnl`	AsymML: An Asymmetric Decomposition Framework for Privacy-Preserving DNN Training and Inference. CoRR Yue Niu, Ramy E. Ali, Salman Avestimehr
2021	J	`jnl`	Coded Computing for Low-Latency Federated Learning Over Wireless Edge Networks. IEEE J. Sel. Areas Commun. Saurav Prakash, Sagar Dhakal, Mustafa Riza Akdeniz, Yair Yona, Shilpa Talwar, Salman Avestimehr, Nageen Himayat
2021	J	`jnl`	FairFed: Enabling Group Fairness in Federated Learning. CoRR Yahya H. Ezzeldin, Shen Yan, Chaoyang He, Emilio Ferrara, Salman Avestimehr
2021	J	`jnl`	FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks. CoRR Chaoyang He, Alay Dilipbhai Shah, Zhenheng Tang, Di Fan, Adarshan Naiynar Sivashunmugam, Keerti Bhogaraju, Mita Shimpi, Li Shen, Xiaowen Chu, Mahdi Soltanolkotabi, Salman Avestimehr
2021	J	`jnl`	FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks. CoRR Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram, Salman Avestimehr
2021	J	`jnl`	FedNLP: A Research Platform for Federated Learning in Natural Language Processing. CoRR Bill Yuchen Lin, Chaoyang He, Zihang Zeng, Hulin Wang, Yufen Huang, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr
2021	Misc	`conf`	Federated Learning for Internet of Things. SenSys Tuo Zhang, Chaoyang He, Tianhao Ma, Lei Gao, Mark Ma, Salman Avestimehr
2021	J	`jnl`	Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection. CoRR Tuo Zhang, Chaoyang He, Tianhao Ma, Mark Ma, Salman Avestimehr
2021	J	`jnl`	Federated Learning for Internet of Things: Applications, Challenges, and Opportunities. CoRR Tuo Zhang, Lei Gao, Chaoyang He, Mi Zhang, Bhaskar Krishnamachari, Salman Avestimehr
2021	J	`jnl`	Guest Editorial for Special Issue on Coded Computing. IEEE J. Sel. Areas Inf. Theory Pulkit Grover, Viveck R. Cadambe, Sennur Ulukus, Stark C. Draper, Salman Avestimehr, Osvaldo Simeone
2021	—	`conf`	Jupiter: a networked computing architecture. UCC Companion Pradipta Ghosh, Quynh Nguyen, Pranav K. Sakulkar, Jason A. Tran, Aleksandra Knezevic, Jiatong Wang, Zhifeng Lin, Bhaskar Krishnamachari, Murali Annavaram, Salman Avestimehr
2021	J	`jnl`	Layer-wise Adaptive Model Aggregation for Scalable Federated Learning. CoRR Sunwoo Lee, Tuo Zhang, Chaoyang He, Salman Avestimehr
2021	J	`jnl`	LightSecAgg: Rethinking Secure Aggregation in Federated Learning. CoRR Chien-Sheng Yang, Jinhyun So, Chaoyang He, Songze Li, Qian Yu, Salman Avestimehr
2021	A*	`conf`	PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML Chaoyang He, Shen Li, Mahdi Soltanolkotabi, Salman Avestimehr
2021	J	`jnl`	PipeTransformer: Automated Elastic Pipelining for Distributed Training of Transformers. CoRR Chaoyang He, Shen Li, Mahdi Soltanolkotabi, Salman Avestimehr
2021	J	`jnl`	Private Retrieval, Computing and Learning: Recent Progress and Future Challenges. CoRR Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Ali Jafar, Ravi Tandon, Chao Tian
2021	J	`jnl`	SPIDER: Searching Personalized Neural Architecture for Federated Learning. CoRR Erum Mushtaq, Chaoyang He, Jie Ding, Salman Avestimehr
2021	J	`jnl`	SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision. CoRR Chaoyang He, Zhengyu Yang, Erum Mushtaq, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr
2021	J	`jnl`	Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning. CoRR Jinhyun So, Ramy E. Ali, Basak Guler, Jiantao Jiao, Salman Avestimehr
2021	J	`jnl`	Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning. IACR Cryptol. ePrint Arch. Jinhyun So, Ramy E. Ali, Basak Guler, Jiantao Jiao, Salman Avestimehr
2021	J	`jnl`	SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks. CoRR Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr
2021	—	`conf`	Tactical Jupiter: Dynamic Scheduling of Dispersed Computations in Tactical MANETs. MILCOM Alexander Poylisher, Andrzej Cichocki, Katherine Guo, James Hunziker, Latha A. Kant, Bhaskar Krishnamachari, Salman Avestimehr, Murali Annavaram
2021	J	`jnl`	Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning. CoRR Tingting Tang, Ramy E. Ali, Hanieh Hashemi, Tynan Gangwani, Salman Avestimehr, Murali Annavaram
2020	A*	`conf`	A Scalable Approach for Privacy-Preserving Collaborative Machine Learning. NeurIPS Jinhyun So, Basak Güler, Salman Avestimehr
2020	J	`jnl`	Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks. CoRR Saurav Prakash, Sagar Dhakal, Mustafa Riza Akdeniz, Yair Yona, Shilpa Talwar, Salman Avestimehr, Nageen Himayat
2020	J	`jnl`	Coded Computing. Found. Trends Commun. Inf. Theory Songze Li, Salman Avestimehr
2020	—	`conf`	Coded Merkle Tree: Solving Data Availability Attacks in Blockchains. Financial Cryptography Mingchao Yu, Saeid Sahraei, Songze Li, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
2020	A	`conf`	Collage Inference: Using Coded Redundancy for Lowering Latency Variation in Distributed Image Classification Systems. ICDCS Hema Venkata Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram
2020	J	`jnl`	FedML: A Research Library and Benchmark for Federated Machine Learning. CoRR Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr
2020	J	`jnl`	FedNAS: Federated Deep Learning via Neural Architecture Search. CoRR Chaoyang He, Murali Annavaram, Salman Avestimehr
2020	J	`jnl`	Group Knowledge Transfer: Collaborative Training of Large CNNs on the Edge. CoRR Chaoyang He, Murali Annavaram, Salman Avestimehr
2020	A*	`conf`	Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge. NeurIPS Chaoyang He, Murali Annavaram, Salman Avestimehr
2020	J	`jnl`	InfoCommit: Information-Theoretic Polynomial Commitment and Verification. CoRR Saeid Sahraei, Salman Avestimehr
2020	J	`jnl`	InfoCommit: Information-Theoretic Polynomial Commitment and Verification. IACR Cryptol. ePrint Arch. Saeid Sahraei, Salman Avestimehr
2020	B	`conf`	Interactive Verifiable Polynomial Evaluation. ISIT Saeid Sahraei, Mohammad Ali Maddah-Ali, Salman Avestimehr
2020	A*	`conf`	Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks. NeurIPS Seyed Mohammadreza Mousavi Kalan, Zalan Fabian, Salman Avestimehr, Mahdi Soltanolkotabi
2019	J	`jnl`	Coded Merkle Tree: Solving Data Availability Attacks in Blockchains. CoRR Mingchao Yu, Saeid Sahraei, Songze Li, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
2019	J	`jnl`	Coded Merkle Tree: Solving Data Availability Attacks in Blockchains. IACR Cryptol. ePrint Arch. Mingchao Yu, Saeid Sahraei, Songze Li, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
2019	A*	`conf`	Coded State Machine - Scaling State Machine Execution under Byzantine Faults. PODC Songze Li, Saeid Sahraei, Mingchao Yu, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
2019	J	`jnl`	Coded State Machine - Scaling State Machine Execution under Byzantine Faults. CoRR Songze Li, Saeid Sahraei, Mingchao Yu, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
2019	J	`jnl`	Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models. CoRR Krishna Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram
2019	J	`jnl`	Collage Inference: Tolerating Stragglers in Distributed Neural Network Inference using Coding. CoRR Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram
2019	J	`jnl`	Distributed Matrix Multiplication Using Speed Adaptive Coding. CoRR Krishna Narra, Zhifeng Lin, Mehrdad Kiamari, Salman Avestimehr, Murali Annavaram
2019	B	`conf`	Download and Access Trade-offs in Lagrange Coded Computing. ISIT Netanel Raviv, Qian Yu, Jehoshua Bruck, Salman Avestimehr
2019	J	`jnl`	Interactive Verifiable Polynomial Evaluation. CoRR Saeid Sahraei, Mohammad Ali Maddah-Ali, Salman Avestimehr
2019	J	`jnl`	Jupiter: A Networked Computing Architecture. CoRR Pradipta Ghosh, Quynh Nguyen, Pranav K. Sakulkar, Aleksandra Knezevic, Jason A. Tran, Jiatong Wang, Zhifeng Lin, Bhaskar Krishnamachari, Murali Annavaram, Salman Avestimehr
2019	A	`conf`	Slack squeeze coded computing for adaptive straggler mitigation. SC Krishna Giri Narra, Zhifeng Lin, Mehrdad Kiamari, Salman Avestimehr, Murali Annavaram
2019	J	`jnl`	Train Where the Data is: A Case for Bandwidth Efficient Coded Training. CoRR Zhifeng Lin, Krishna Giri Narra, Mingchao Yu, Salman Avestimehr, Murali Annavaram
2018	J	`jnl`	Coded Computing for Distributed Graph Analytics. CoRR Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Salman Avestimehr
2018	Misc	`conf`	Distributed Solution of Large-Scale Linear Systems Via Accelerated Projection-Based Consensus. ICASSP Navid Azizan Ruhi, Farshad Lahouti, Salman Avestimehr, Babak Hassibi
2018	A*	`conf`	GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. NeurIPS Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr
2018	J	`jnl`	GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. CoRR Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr
2018	A*	`conf`	Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training. NeurIPS Youjie Li, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim, Alexander G. Schwing
2018	J	`jnl`	Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training. CoRR Youjie Li, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim, Alexander G. Schwing
2018	J	`jnl`	PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. CoRR Songze Li, Mingchao Yu, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
2017	J	`jnl`	A Sampling Theory Perspective of Graph-based Semi-supervised Learning. CoRR Aamir Anis, Aly El Gamal, Salman Avestimehr, Antonio Ortega
2017	J	`jnl`	Coded Computation over Heterogeneous Clusters. CoRR Amirhossein Reisizadehmobarakeh, Saurav Prakash, Ramtin Pedarsani, Salman Avestimehr
2017	—	`conf`	Coded TeraSort. IPDPS Workshops Songze Li, Sucha Supittayapornpong, Mohammad Ali Maddah-Ali, Salman Avestimehr
2017	B	`conf`	Coded computation over heterogeneous clusters. ISIT Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Salman Avestimehr
2017	J	`jnl`	Distributed Solution of Large-Scale Linear Systems via Accelerated Projection-Based Consensus. CoRR Navid Azizan Ruhi, Farshad Lahouti, Salman Avestimehr, Babak Hassibi
2017	—	`conf`	Polynomial Codes: an Optimal Design for High-Dimensional Coded Matrix Multiplication. NIPS Qian Yu, Mohammad Ali Maddah-Ali, Salman Avestimehr
2016	J	`jnl`	Active Learning for Community Detection in Stochastic Block Models. CoRR Akshay Gadde, Eyal En Gad, Salman Avestimehr, Antonio Ortega
2016	B	`conf`	Active learning for community detection in stochastic block models. ISIT Akshay Gadde, Eyal En Gad, Salman Avestimehr, Antonio Ortega
2016	J	`jnl`	MISO Broadcast Channel With Hybrid CSIT: Beyond Two Users. IEEE Trans. Inf. Theory Sina Lashgari, Ravi Tandon, Salman Avestimehr
2015	Misc	`conf`	Asymptotic justification of bandlimited interpolation of graph signals for semi-supervised learning. ICASSP Aamir Anis, Aly El Gamal, Salman Avestimehr, Antonio Ortega
2015	J	`jnl`	MISO Broadcast Channel with Hybrid CSIT: Beyond Two Users. CoRR Sina Lashgari, Ravi Tandon, Salman Avestimehr
2015	—	`conf`	Three-user MISO broadcast channel: How much can CSIT heterogeneity help? ICC Sina Lashgari, Ravi Tandon, Salman Avestimehr
2014	J	`jnl`	Multihop Wireless Networks: A Unified Approach to Relaying and Interference Management. Found. Trends Netw. Ilan Shomorony, Salman Avestimehr
2013	J	`jnl`	A Latent Social Approach to YouTube Popularity Prediction. CoRR Amandianeze O. Nwana, Salman Avestimehr, Tsuhan Chen
2013	B	`conf`	A latent social approach to YouTube popularity prediction. GLOBECOM Amandianeze O. Nwana, Salman Avestimehr, Tsuhan Chen
2010	—	`conf`	Bidirectional multi-pair network with a MIMO relay: Beamforming strategies and lack of duality. Allerton Aydin Sezgin, Holger Boche, Salman Avestimehr
2009	—	`conf`	Distributed universally optimal strategies for interference channels with partial message passing. Allerton Vaneet Aggarwal, Salman Avestimehr, Ashutosh Sabharwal
2009	—	`conf`	Network error correction with unequal link capacities. Allerton Sukwon Kim, Tracey Ho, Michelle Effros, Salman Avestimehr
2005	B	`conf`	Anytime communication over the Gilbert-Eliot channel with noiseless feedback. ISIT Anant Sahai, Salman Avestimehr, Paolo Minero