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LightSecAgg: Rethinking Secure Aggregation in Federated Learning


Sep 29, 2021
Chien-Sheng Yang, Jinhyun So, Chaoyang He, Songze Li, Qian Yu, Salman Avestimehr


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OmniLytics: A Blockchain-based Secure Data Market for Decentralized Machine Learning


Jul 12, 2021
Jiacheng Liang, Wensi Jiang, Songze Li

* 12 pages,5 figures, accepted by International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with ICML 2021(http://federated-learning.org/fl-icml-2021/

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FedML: A Research Library and Benchmark for Federated Machine Learning


Jul 27, 2020
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

* We maintain the source code, documents, and user community at https://fedml.ai 

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Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training


Nov 08, 2018
Youjie Li, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim, Alexander Schwing


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GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training


Nov 08, 2018
Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander Schwing, Murali Annavaram, Salman Avestimehr


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Polynomially Coded Regression: Optimal Straggler Mitigation via Data Encoding


May 24, 2018
Songze Li, Seyed Mohammadreza Mousavi Kalan, Qian Yu, Mahdi Soltanolkotabi, A. Salman Avestimehr


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