2025
Rethinking the Temperature for Federated Heterogeneous Distillation
ICML 2025poster
Federated Distillation (FedKD) relies on lightweight knowledge carriers like logits for efficient client-server communication. Although logit-based methods have demonstrated promise in addressing statistical and architectural heterogeneity in federated learning (FL), current approaches remain const…