A combined priority scheduling method for distributed machine learning

A combined priority scheduling method for distributed machine learning

Abstract Algorithms and frameworks for distributed machine learning have been widely used in numerous artificial intelligence engineering applications. A cloud platform provides a large number of resources at a lower cost and is a more convenient method for such applications. With the rapid developm...

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Bibliographic Details
Main Authors: TianTian Du, GongYi Xiao, Jing Chen, ChuanFu Zhang, Hao Sun, Wen Li, YuDong Geng
Format: Article
Language:English
Published: SpringerOpen 2023-05-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Cloud computing
Distributed machine learning
Resource scheduling
Prioritization
Online Access:https://doi.org/10.1186/s13638-023-02253-4

Internet

https://doi.org/10.1186/s13638-023-02253-4

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