FedDRL: A Trustworthy Federated Learning Model Fusion Method Based on Staged Reinforcement Learning

no code implementations • 25 Jul 2023 • Leiming Chen, Weishan Zhang, Cihao Dong, Sibo Qiao, Ziling Huang, Yuming Nie, Zhaoxiang Hou, Chee Wei Tan

Traditional federated learning uses the number of samples to calculate the weights of each client model and uses this fixed weight value to fusion the global model.

Federated Learning