Federated Learning with Label Distribution Skew via Logits Calibration

Jie Zhang, Zhiqi Li, Bo Li +4

Traditional federated optimization methods perform poorly with heterogeneous data (ie, accuracy reduction), especially for highly skewed data. In this paper, we investigate the lab…