Distributed learning of deep neural network over multiple agents

In domains such as health care and finance, shortage of labeled data and computational resources is a critical issue while developing machine learning algorithms. To address the issue of labeled data scarcity in training and deployment of neural network-based systems, we propose a new technique to t...

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Veröffentlicht in:	Journal of network and computer applications Jg. 116; S. 1 - 8
Hauptverfasser:	Gupta, Otkrist, Raskar, Ramesh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.08.2018
Schlagworte:	Deep learning Distributed systems Multi party computation Deep learning Multi party computation Distributed systems
ISSN:	1084-8045, 1095-8592
Online-Zugang:	Volltext
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