Reinforcement Learning Based Incentive Mechanism for Federated Meta Learning: A Game-Theoretic Perspective
Author:
Affiliation:
1. School of Intelligent Systems Engineering, Sun Yat-sen University,Shenzhen,China
2. Engineering Product Development, Singapore University of Technology and Design,Singapore
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10097829/10097885/10098009.pdf?arnumber=10098009
Reference31 articles.
1. Optimizing Federated Learning in Distributed Industrial IoT: A Multi-Agent Approach
2. Robust federated learning in a heterogeneous environment;ghosh;ArXiv Preprint,2019
3. Solving Six-Player Games via Online Situation Estimation
4. A bi-Hierarchical Game-Theoretic Approach for Network-Wide Traffic Signal Control Using Trip-Based Data
5. Nash q-learning for general-sum stochastic games;hu;Journal of Machine Learning Research,2003
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