Distributed Deep Neural Networks Over the Cloud, the Edge and End Devices

We propose distributed deep neural networks (DDNNs) over distributed computing hierarchies, consisting of the cloud, the edge (fog) and end devices. While being able to accommodate inference of a deep neural network (DNN) in the cloud, a DDNN also allows fast and localized inference using shallow po...

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Bibliographic Details

Published in:	Proceedings of the International Conference on Distributed Computing Systems pp. 328 - 339
Main Authors:	Teerapittayanon, Surat, McDanel, Bradley, Kung, H. T.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2017
Subjects:	Artificial neural networks Cloud computing Computational modeling ddnn deep neural networks distributed computing hierarchies distributed deep neural networks dnn edge computing embedded dnn Performance evaluation sensor fusion Training
ISSN:	1063-6927
Online Access:	Get full text
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