Communication-Oriented Model Fine-Tuning for Packet-Loss Resilient Distributed Inference Under Highly Lossy IoT Networks
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DOI: 10.1109/access.2022.3149336
Abstract: The distributed inference (DI) framework has gained traction as a technique for real-time applications empowered by cutting-edge deep machine learning (ML) on resource-constrained Internet of things (IoT) devices. In DI, computational tasks are offloaded from… read more here.
Keywords: distributed inference; lossy iot; communication; iot networks ... See more keywords