FedEGG: Federated Learning with Explicit Global Guidance

Kun Zhai, Yifeng Gao, Difan Zou +4

Federated Learning (FL) holds great potential for diverse applications owing to its privacy-preserving nature. However, its convergence is often challenged by non-IID data distribu…