Distributed Quantization-Aware RLS Learning With Bias Compensation and Coarsely Quantized Signals
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DOI: 10.1109/tsp.2022.3185898
Abstract: In this work, we present an energy-efficient distributed learning framework using coarsely quantized signals for Internet of Things (IoT) networks. In particular, we develop a distributed quantization-aware recursive least-squares (DQA-RLS) algorithm that can learn parameters… read more here.
Keywords: quantization aware; coarsely quantized; dqa rls; distributed quantization ... See more keywords