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Layerwise Geo-Distributed Computing between Cloud and IoT. (arXiv:2201.07215v1 [cs.DC])
Jan. 20, 2022, 2:10 a.m. | Satoshi Kamo, Yiqiang Sheng
cs.LG updates on arXiv.org arxiv.org
In this paper, we propose a novel architecture for a deep learning system,
named k-degree layer-wise network, to realize efficient geo-distributed
computing between Cloud and Internet of Things (IoT). The geo-distributed
computing extends Cloud to the geographical verge of the network in the
neighbor of IoT. The basic ideas of the proposal include a k-degree constraint
and a layer-wise constraint. The k-degree constraint is defined such that the
degree of each vertex on the h-th layer is exactly k(h) to …
More from arxiv.org / cs.LG updates on arXiv.org
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