Stochastic Strongly Convex Optimization via Distributed Epoch Stochastic Gradient Algorithm

This article considers the problem of stochastic strongly convex optimization over a network of multiple interacting nodes. The optimization is under a global inequality constraint and the restriction that nodes have only access to the stochastic gradients of their objective functions. We propose an...

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Bibliographic Details
Published in:IEEE transaction on neural networks and learning systems Vol. 32; no. 6; pp. 2344 - 2357
Main Authors: Yuan, Deming, Ho, Daniel W. C., Xu, Shengyuan
Format: Journal Article
Language:English
Published: Piscataway IEEE 01.06.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
ISSN:2162-237X, 2162-2388, 2162-2388
Online Access:Get full text
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