CALM: Class-wise Agreement and Label-gated Disagreement Modulation for Decentralized Federated Learning

Yifan Ying, Qing Tian

Conventional federated learning relies on parameter averaging, which forces clients to be doubly homogeneous: all must run an identical architecture, and accuracy degrades when loc…