2026
FedDAG: Clustered Federated Learning via Global Data and Gradient Integration for Heterogeneous Environments
ICLR 2026poster
Federated Learning (FL) enables a group of clients to collaboratively train a model without sharing individual data, but its performance drops when client data are heterogeneous. Clustered FL tackles this by grouping similar clients. However, existing clustered FL approaches rely solely on either da…