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Decentralized Federated Learning Algorithm Under Adversary Eavesdropping

Lei Xu Danya Xu Xinlei Yi Chao Deng Tianyou Chai Tao Yang

自动化学报（英文版）2025，Vol.12Issue(2)：448-456,9.

自动化学报（英文版）2025，Vol.12Issue(2)：448-456,9.DOI:10.1109/JAS.2024.125079

Decentralized Federated Learning Algorithm Under Adversary Eavesdropping

Lei Xu ¹Danya Xu ²Xinlei Yi ³Chao Deng ⁴Tianyou Chai ²Tao Yang²

作者信息

1. State Key Laboratory of Synthetical Automation for Process Industries,Northeastern University,Shenyang 110819||Department of Mechanical Engineering,University of Victoria,Victoria BC V8W 2Y2,Canada
2. State Key Laboratory of Synthetical Automation for Process Industries,Northeastern University,Shenyang 110819,China
3. Shanghai Institute of Intelligent Science and Technology,Tongji University,Shanghai 201804,China
4. Institute of Advanced Technology,Nanjing University of Posts and Telecommunications,Nanjing 210023,China
折叠

摘要

关键词

Adversary eavesdropping/decentralized federated learning/privacy protection/stochastic gradient descent

Key words

Adversary eavesdropping/decentralized federated learning/privacy protection/stochastic gradient descent

引用本文复制引用

Lei Xu,Danya Xu,Xinlei Yi,Chao Deng,Tianyou Chai,Tao Yang..Decentralized Federated Learning Algorithm Under Adversary Eavesdropping[J].自动化学报（英文版）,2025,12(2):448-456,9.

基金项目

This work was supported by the National Key Research and Development Program of China(2022YFB3305904),the National Natural Science Foundation of China(62133003,61991403,61991400),the Open Project of State Key Laboratory of Synthetical Automation for Process Industries(SAPI-2024-KFKT-05,SAPI-2024-KFKT-08),China Academy of Engineering Institute of Land Cooperation Consulting Project(2023-DFZD-60-02,N2424004),the Fundamental Research Funds for the Central Universities and Shanghai Municipal Science and Technology Major Project(2021SHZDZX0100),and the Key Research and Development Program of Liaoning Province(2023JH26/10200011). （2022YFB3305904）

自动化学报（英文版）

ISSN：2329-9266

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