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An Incentive Mechanism for Federated Learning:A Continuous Zero-Determinant Strategy Approach

Changbing Tang Baosen Yang Xiaodong Xie Guanrong Chen Mohammed A.A.Al-qaness Yang Liu

自动化学报（英文版）2024，Vol.11Issue(1)：88-102,15.

自动化学报（英文版）2024，Vol.11Issue(1)：88-102,15.DOI:10.1109/JAS.2023.123828

An Incentive Mechanism for Federated Learning:A Continuous Zero-Determinant Strategy Approach

Changbing Tang ¹Baosen Yang ²Xiaodong Xie ¹Guanrong Chen ³Mohammed A.A.Al-qaness ¹Yang Liu⁴

作者信息

1. College of Physics and Electronic Information Engineering,Zhejiang Normal University,Jinhua 321004,China
2. School of Mathematical Sciences,Zhejiang Normal University,Jinhua 321004,China
3. Department of Electrical Engineering,City University of Hong Kong,Hong Kong,China
4. Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province,and also with the School of Mathematical Sciences,Zhejiang Normal University,Jinhua 321004,China
折叠

摘要

关键词

Federated learning(FL)/game theory/incentive mechanism/machine learning/zero-determinant strategy

Key words

Federated learning(FL)/game theory/incentive mechanism/machine learning/zero-determinant strategy

引用本文复制引用

Changbing Tang,Baosen Yang,Xiaodong Xie,Guanrong Chen,Mohammed A.A.Al-qaness,Yang Liu..An Incentive Mechanism for Federated Learning:A Continuous Zero-Determinant Strategy Approach[J].自动化学报（英文版）,2024,11(1):88-102,15.

基金项目

This work was partially supported by the National Natural Science Foundation of China(62173308),the Natural Science Foundation of Zhejiang Province of China(LR20F030001),and the Jinhua Science and Technology Project(2022-1-042). （62173308）

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