GQ-FSL: Green Quantized Federated Split Learning

By Idan Roth · Paper · cs.LG

Deploying state-of-the-art deep neural networks (DNNs) at the wireless edge is severely bottlenecked by the strict energy and resource constraints of mobile devices. While federated split learning (FSL) mitigates on-device computation by offloading workloads to an edge server, th

Frontier · Cs.lg

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