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Salman Avestimehr

FedML: A Research Library and Benchmark for Federated Machine Learning
2020 · He, Chaoyang, Li, Songze, et al. · arXiv (Cornell University) · 349
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Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy
2018 · Yu, Qian, Li, Songze, et al. · arXiv (Cornell University) · 326
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Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge
2020 · He, Chaoyang, Annavaram, Murali, et al. · arXiv (Cornell University) · 275
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A Field Guide to Federated Optimization
2021 · Wang, Jianyu, Charles, Zachary, et al. · arXiv (Cornell University) · 181
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Federated Learning for Internet of Things
2021 · Tuo Zhang, Chaoyang He, et al. · ACM Conference on Embedded Networked Sensor Systems (SenSys) · 157
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Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy
2019 · Salman Avestimehr, Mohammadreza Mousavi Kalan, et al. · International Conference on Artificial Intelligence and Statistics · 130
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks
2022 · Bill Yuchen Lin, Chaoyang He, et al. · Findings of the Association for Computational Linguistics: NAACL · 118
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Federated Learning of Generative Image Priors for MRI Reconstruction
2022 · Gokberk Elmas, Salman U. H. Dar, et al. · IEEE Transactions on Medical Imaging · 117
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LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning
2021 · So, Jinhyun, He, Chaoyang, et al. · arXiv (Cornell University) · 110
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Private Retrieval, Computing, and Learning: Recent Progress and Future Challenges
2022 · Sennur Ulukus, Salman Avestimehr, et al. · IEEE Journal on Selected Areas in Communications · 90
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FedMultimodal: A Benchmark for Multimodal Federated Learning
2023 · Tiantian Feng, Digbalay Bose, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 89
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Coded Merkle Tree: Solving Data Availability Attacks in Blockchains
2020 · Mingchao Yu, Saeid Sahraei, et al. · Lecture notes in computer science · 74
Federated Learning Challenges and Opportunities: An Outlook
2022 · Jie Ding, Eric Tramel, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 73
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training
2018 · Li, Youjie, Yu, Mingchao, et al. · arXiv (Cornell University) · 72
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FedNAS: Federated Deep Learning via Neural Architecture Search
2020 · Chaoyang He, Murali Annavaram, et al. · arXiv (Cornell University) · 64
SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data
2022 · Chaoyang He, Emir Ceyani, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 63
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training
2018 · Yu, Mingchao, Lin, Zhifeng, et al. · arXiv (Cornell University) · 54
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One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis
2024 · Onat Dalmaz, Muhammad U. Mirza, et al. · Medical Image Analysis · 52
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FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations
2022 · So, Jinhyun, Hsieh, Kevin, et al. · arXiv (Cornell University) · 52
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TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training
2023 · Tuo Zhang, Lei Gao, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 51
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Coded Computing: Mitigating Fundamental Bottlenecks in Large-Scale Distributed Computing and Machine Learning
2020 · Songze Li, Salman Avestimehr · Foundations and Trends® in Communications and Information Theory · 51
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System
2023 · Jin, Weizhao, Yao, Yuhang, et al. · arXiv (Cornell University) · 49
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Loki: Large-scale Data Reconstruction Attack against Federated Learning through Model Manipulation
2024 · Joshua C. Zhao, Atul Sharma, et al. · IEEE Symposium on Security and Privacy (S&P) · 48
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FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks
2021 · He, Chaoyang, Shah, Alay Dilipbhai, et al. · arXiv (Cornell University) · 46
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FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
2022 · Terrail, Jean Ogier du, Ayed, Samy-Safwan, et al. · arXiv (Cornell University) · 43
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Works count: 194
Citation count: 4,133
H-index: 34
I10-index: 72
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