Distributed ADMM Based on Sparse Computation and Allreduce Communication

The distributed alternating direction method of mul-tipliers (ADMM) is an effective algorithm to solve large-scale op-timization problems. However, there are still massive computation and communication cost in distributed ADMM when processing high-dimensional data. To solve this problem, we propose...

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Bibliographic Details

Published in:	2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom) pp. 722 - 729
Main Authors:	Zhang, Zeyu, Lei, Yongmei, Wang, Dongxia, Wang, Guozheng
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.12.2022
Subjects:	Aggregates allreduce communication Computational modeling Convex functions Costs Design methodology distributed ADMM algorithm Distributed databases Filtering algorithms SCAC-ADMM sparse computation
Online Access:	Get full text
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