Model Compression via Pattern Shared Sparsification in Analog Federated Learning Under Communication Constraints
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DOI: 10.1109/tgcn.2022.3186538
Abstract: Recently, it has been shown that analog transmission based federated learning enables more efficient usage of communication resources compared to the conventional digital transmission. In this paper, we propose an effective model compression strategy enabling… read more here.
Keywords: shared sparsification; analog; sparsification; communication ... See more keywords