Hybrid ADMM: a unifying and fast approach to decentralized optimization

Hybrid ADMM: a unifying and fast approach to decentralized optimization

Abstract The present work introduces the hybrid consensus alternating direction method of multipliers (H-CADMM), a novel framework for optimization over networks which unifies existing distributed optimization approaches, including the centralized and the decentralized consensus ADMM. H-CADMM provid...

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Bibliographic Details
Main Authors: Meng Ma, Athanasios N. Nikolakopoulos, Georgios B. Giannakis
Format: Article
Language:English
Published: SpringerOpen 2018-12-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
ADMM
Distributed optimization
Decentralized learning
Hybrid
Consensus
Online Access:http://link.springer.com/article/10.1186/s13634-018-0589-x

Internet

http://link.springer.com/article/10.1186/s13634-018-0589-x

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