Adaptive Federated Learning via New Entropy Approach

no code implementations • 27 Mar 2023 • Shensheng Zheng, Wenhao Yuan, Xuehe Wang, Lingjie Duan

In this paper, by leveraging entropy as a new metric for assessing the degree of system disorder, we propose an adaptive FEDerated learning algorithm based on ENTropy theory (FedEnt) to alleviate the parameter deviation among heterogeneous clients and achieve fast convergence.

Federated Learning