Abstract: Compressive learning (CL) is an emerging framework that enables machine learning inference tasks to be performed directly in the measurements of compressed sensing (CS), which can reduce ...
Abstract: In this paper, we present a communication-efficient federated learning framework inspired by quantized compressed sensing. The presented framework consists of gradient compression for ...
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