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Published in: Peer-to-Peer Networking and Applications 3/2021

09-02-2021

Guest editorial special issue on “P2P computing for deep learning”

Authors: Ying Li, R. K. Shyamasundar, Mohammad S. Obaidat, Yuyu Yin

Published in: Peer-to-Peer Networking and Applications | Issue 3/2021

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Excerpt

With the emergence of big data and efficient computing resources, deep learning has made breakthroughs in many areas of artificial intelligence. However, in the face of increasingly complex tasks, the scale of data and deep learning models have become increasingly large. To improve the training efficiency of the deep learning model and reduce the training time, distributed technology should be used to perform training tasks. Distributed technology, such as peer-to-peer (P2P) networks, is an accelerator of deep learning technology, which can significantly improve the training efficiency of deep learning and further increase its application range. We accepted 7 papers from open special issue submissions. A summary of these papers is outlined below. …

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Metadata
Title
Guest editorial special issue on “P2P computing for deep learning”
Authors
Ying Li
R. K. Shyamasundar
Mohammad S. Obaidat
Yuyu Yin
Publication date
09-02-2021
Publisher
Springer US
Published in
Peer-to-Peer Networking and Applications / Issue 3/2021
Print ISSN: 1936-6442
Electronic ISSN: 1936-6450
DOI
https://doi.org/10.1007/s12083-021-01089-3

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