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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3215083
Abstract: Distributed deep learning architecture can achieve scalable learning and inference capability at resource-constrained edge devices. Although the parallelization-based approaches have actively been investigated in the edge computing context, they are not designed for the devices…
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Keywords:
edge devices;
stitchnet;
volatile wireless;
model ... See more keywords