CRAD: Class-wise Reliability-Aware Distillation for Decentralized Heterogeneous Federated Learning

Baraa Bilbeisi, Mengchen Fan, Baocheng Geng +1

Conventional federated learning (FL) relies on parameter averaging, which forces clients to be doubly homogeneous: it demands an identical architecture and degrades under non-IID d…