Abstract: Under non-independent and identically distributed (non-IID) data conditions, static weighted aggregation strategies in Federated Learning (FL) often fail to reflect each client's effective ...
Abstract: In the federated learning (FL) framework, clients participate in collaborative learning tasks under the coordination of a central server. Clients train local submodels using their own data ...