An Incentive Mechanism for Federated Learning:A Continuous Zero-Determinant Strategy ApproachOACSTPCD
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
College of Physics and Electronic Information Engineering,Zhejiang Normal University,Jinhua 321004,ChinaSchool of Mathematical Sciences,Zhejiang Normal University,Jinhua 321004,ChinaCollege of Physics and Electronic Information Engineering,Zhejiang Normal University,Jinhua 321004,ChinaDepartment of Electrical Engineering,City University of Hong Kong,Hong Kong,ChinaCollege of Physics and Electronic Information Engineering,Zhejiang Normal University,Jinhua 321004,ChinaKey Laboratory of Intelligent Education Technology and Application of Zhejiang Province,and also with the School of Mathematical Sciences,Zhejiang Normal University,Jinhua 321004,China
Federated learning(FL)game theoryincentive mechanismmachine learningzero-determinant strategy
Federated learning(FL)game theoryincentive mechanismmachine learningzero-determinant strategy
《自动化学报（英文版）》 2024 (1)
概率布尔网络中分析与控制的若干问题研究
88-102,15
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).
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