Abstract: Split Federated Learning (SFL) improves scalability of Split Learning (SL) by enabling parallel computing of the learning tasks on multiple clients. However, state-of-the-art SFL schemes ...
Abstract: Parallel computational operations can significantly enhance network computational efficiency, and such processing has a wide range of applications across different spatial scales in networks ...
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