Abstract: Distributed training (DT) has become an important and popular practice for collaborative training of high-quality machine learning (ML) models. The communication efficiency of gradient ...
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 ...
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