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Chen, S.X., Garcia, A. and Shahrampour S. (2022) On Distributed Nonconvex Optimization: Projected Subgradient Method for Weakly Convex Problems in Networks. IEEE Transactions on Automatic Control, 67, 662-675.
https://doi.org/10.1109/TAC.2021.3056535

has been cited by the following article:

• TITLE: Distributed Alternating Direction Method of Multipliers for Multi-Objective Optimization

  AUTHORS: Hui Deng, Yangdong Xu

  KEYWORDS: Alternating Direction Method of Multipliers, Distributed Algorithm, Multi-Objective Optimization, Multi-Agent System

  JOURNAL NAME: Advances in Pure Mathematics, Vol.12 No.4, April 6, 2022

  ABSTRACT: In this paper, a distributed algorithm is proposed to solve a kind of multi-objective optimization problem based on the alternating direction method of multipliers. Compared with the centralized algorithms, this algorithm does not need a central node. Therefore, it has the characteristics of low communication burden and high privacy. In addition, numerical experiments are provided to validate the effectiveness of the proposed algorithm.