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

doi:10.1109/JAS.2023.123828

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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
刊名	IEEE/CAA Journal of Automatica Sinica
	2024
卷号	11 期号:1 页码:88-102
关键词	Federated learning (FL) game theory incentive mechanism machine learning zero-determinant strategy
ISSN号	2329-9266
DOI	10.1109/JAS.2023.123828
英文摘要	As a representative emerging machine learning technique, federated learning (FL) has gained considerable popularity for its special feature of “making data available but not visible”. However, potential problems remain, including privacy breaches, imbalances in payment, and inequitable distribution. These shortcomings let devices reluctantly contribute relevant data to, or even refuse to participate in FL. Therefore, in the application of FL, an important but also challenging issue is to motivate as many participants as possible to provide high-quality data to FL. In this paper, we propose an incentive mechanism for FL based on the continuous zero-determinant (CZD) strategies from the perspective of game theory. We first model the interaction between the server and the devices during the FL process as a continuous iterative game. We then apply the CZD strategies for two players and then multiple players to optimize the social welfare of FL, for which we prove that the server can keep social welfare at a high and stable level. Subsequently, we design an incentive mechanism based on the CZD strategies to attract devices to contribute all of their high-accuracy data to FL. Finally, we perform simulations to demonstrate that our proposed CZD-based incentive mechanism can indeed generate high and stable social welfare in FL.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/54495]
专题	自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Changbing Tang,Baosen Yang,Xiaodong Xie,et al. An Incentive Mechanism for Federated Learning: A Continuous Zero-Determinant Strategy Approach[J]. IEEE/CAA Journal of Automatica Sinica,2024,11(1):88-102.
APA	Changbing Tang,Baosen Yang,Xiaodong Xie,Guanrong Chen,Mohammed A. A. Al-qaness,&Yang Liu.(2024).An Incentive Mechanism for Federated Learning: A Continuous Zero-Determinant Strategy Approach.IEEE/CAA Journal of Automatica Sinica,11(1),88-102.
MLA	Changbing Tang,et al."An Incentive Mechanism for Federated Learning: A Continuous Zero-Determinant Strategy Approach".IEEE/CAA Journal of Automatica Sinica 11.1(2024):88-102.