Multi-player evolutionary game of federated learning incentive mechanism based on system dynamics

Author:

Yang Pengxi,Zhang HuaORCID,Gao Fei,Xu YanxinORCID,Jin ZhengpingORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference46 articles.

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3. Federated learning: challenges, methods, and future directions;Li;IEEE Signal Process Mag.,2020

4. Z. Xia, Y. Shu, H. Shen, M. Zhang, A Federated Learning Assisted Conditional Privacy Preserving Scheme for Vehicle Networks. In Proceedings of the International Symposium on Cyberspace Safety and Security, 2021; pp. 16-35.

5. N. Ding, Z. Fang, J. Huang, Incentive mechanism design for federated learning with multi-dimensional private information. In Proceedings of the 2020 18th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOPT), 2020; pp. 1-8.

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1. Toward Free-Riding Attack on Cross-Silo Federated Learning Through Evolutionary Game;2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS);2024-07-23

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