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Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design


Nov 08, 2022
Yuchang Sun, Jiawei Shao, Yuyi Mao, Songze Li, Jun Zhang

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DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing


Oct 06, 2022
Jiawei Shao, Yuchang Sun, Songze Li, Jun Zhang

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* This paper was accepted to NeurIPS 2022 

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Fully Privacy-Preserving Federated Representation Learning via Secure Embedding Aggregation


Jun 18, 2022
Jiaxiang Tang, Jinbao Zhu, Songze Li, Kai Zhang, Lichao Sun

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Secure Federated Clustering


May 31, 2022
Songze Li, Sizai Hou, Baturalp Buyukates, Salman Avestimehr

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Generalized Lagrange Coded Computing: A Flexible Computation-Communication Tradeoff


Apr 24, 2022
Jinbao Zhu, Songze Li

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* Accepted by IEEE ISIT 2022 

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SwiftAgg+: Achieving Asymptotically Optimal Communication Load in Secure Aggregation for Federated Learning


Mar 24, 2022
Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Songze Li, Giuseppe Caire

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* arXiv admin note: substantial text overlap with arXiv:2202.04169 

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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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