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Songze Li

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SwiftAgg: Communication-Efficient and Dropout-Resistant Secure Aggregation for Federated Learning with Worst-Case Security Guarantees

Feb 08, 2022
Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Songze Li, Giuseppe Caire

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Stochastic Coded Federated Learning with Convergence and Privacy Guarantees

Jan 26, 2022
Yuchang Sun, Jiawei Shao, Songze Li, Yuyi Mao, Jun Zhang

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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

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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

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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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