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

Shijing Yuan, Hongze Liu, Hongtao Lv +4

Cross-silo federated learning (FL) is a typical FL that enables organizations(e.g., financial or medical entities) to train global models on isolated data. Reasonable incentive is…