Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning
The article introduces WIMA (Window-based Model Averaging), a method designed to enhance the robustness and generalization capabilities of global models in Federated Learning (FL). FL aims to develop a shared…
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