FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction

Liang Gao, Huazhu Fu, Li Li +3

Federated learning (FL) allows multiple clients to collectively train a high-performance global model without sharing their private data. However, the key challenge in federated le…