Abstract: Federated Learning (FL) is a decentralized paradigm for training machine learning (ML) models across resource-constrained edge devices. A fundamental limitation of this approach lies in the ...
Abstract: The increasing complexity of deep neural networks poses significant barriers to democratizing AI to resource-limited edge devices. To address this challenge, split federated learning (SFL) ...
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