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Liu, S., Zhang, Z.R. and Xie, L.H. (2017) Convergence Rate Analysis of Distributed Optimization with Projected Subgradient Algorithm. Automatica, 83, 162-169.
https://doi.org/10.1016/j.automatica.2017.06.011

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.