Joint Coding and Scheduling Optimization for Distributed Learning Over Wireless Edge Networks

Unlike theoretical analysis of distributed learning (DL) in the literature, DL over wireless edge networks faces the inherent dynamics/uncertainty of wireless connections and edge nodes, making DL less efficient or even inapplicable under the highly dynamic wireless edge networks. This article addre...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE journal on selected areas in communications Vol. 40; no. 2; pp. 484 - 498
Main Authors:	Van Huynh, Nguyen, Hoang, Dinh Thai, Nguyen, Diep N., Dutkiewicz, Eryk
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.02.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Academic degrees Algorithms Coded computing Codes Coding Cognitive tasks Computer aided instruction Computer architecture deep dueling neural network Deep learning deep reinforcement learning Distance learning distributed learning Edge computing Encoding Machine learning Markov processes Neural networks Nodes Optimization Redundancy reinforcement learning Scheduling Servers Service introduction Task analysis Uncertainty Wireless communication wireless edge networks Wireless networks
ISSN:	0733-8716, 1558-0008
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!