Adaptive incentive for cross-silo federated learning: A multi-agent reinforcement learning approach

no code implementations • 15 Feb 2023 • Shijing Yuan, Hongze Liu, Hongtao Lv, Zhanbo Feng, Jie Li, Hongyang Chen, Chentao Wu

To overcome these limitations, we propose a novel adaptive mechanism for cross-silo FL, towards incentivizing organizations to contribute data to maximize their long-term payoffs in a real dynamic training environment.

Federated Learning Multi-agent Reinforcement Learning