Dynamic Games in Federated Learning Training Service Market

Author:

Zou Yuze,Feng Shaohan,Xu Jing,Gong Shimin,Niyato Dusit,Cheng Wenqing

Publisher

IEEE

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Game-Theoretic Incentive Mechanism for Multi-Distributor Multi-Agent Federated Learning;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

2. Improved BCoop, a Cooperation-Promoting Reward Scheme in Heterogeneous Federated Learning;2024 4th International Conference on Data Engineering and Communication Systems (ICDECS);2024-03-22

3. A Review On Game Theoretical Incentive Mechanism For Federated Learning;2022 IEEE 19th India Council International Conference (INDICON);2022-11-24

4. Federated learning review: Fundamentals, enabling technologies, and future applications;Information Processing & Management;2022-11

5. Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective;IEEE Transactions on Cognitive Communications and Networking;2022-09

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