Domain-Skewed Federated Learning with Feature Decoupling and Calibration

Huan Wang, Jun Shen, Jun Yan +1

Federated learning (FL) allows distributed clients to collaboratively train a global model in a privacy-preserving manner. However, one major challenge is domain skew, where client…