Distributed Subgradient Algorithm for Multi-Agent Optimization With Dynamic Stepsize
Xiaoxing Ren; Dewei Li; Yugeng Xi; Haibin Shao
刊名IEEE/CAA Journal of Automatica Sinica
2021
卷号8期号:8页码:1451-1464
关键词Distributed optimization dynamic stepsize gradient method multi-agent networks
ISSN号2329-9266
DOI10.1109/JAS.2021.1003904
英文摘要In this paper, we consider distributed convex optimization problems on multi-agent networks. We develop and analyze the distributed gradient method which allows each agent to compute its dynamic stepsize by utilizing the time-varying estimate of the local function value at the global optimal solution. Our approach can be applied to both synchronous and asynchronous communication protocols. Specifically, we propose the distributed subgradient with uncoordinated dynamic stepsizes (DS-UD) algorithm for synchronous protocol and the AsynDGD algorithm for asynchronous protocol. Theoretical analysis shows that the proposed algorithms guarantee that all agents reach a consensus on the solution to the multi-agent optimization problem. Moreover, the proposed approach with dynamic stepsizes eliminates the requirement of diminishing stepsize in existing works. Numerical examples of distributed estimation in sensor networks are provided to illustrate the effectiveness of the proposed approach.
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/44596]  
专题自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
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GB/T 7714
Xiaoxing Ren,Dewei Li,Yugeng Xi,et al. Distributed Subgradient Algorithm for Multi-Agent Optimization With Dynamic Stepsize[J]. IEEE/CAA Journal of Automatica Sinica,2021,8(8):1451-1464.
APA Xiaoxing Ren,Dewei Li,Yugeng Xi,&Haibin Shao.(2021).Distributed Subgradient Algorithm for Multi-Agent Optimization With Dynamic Stepsize.IEEE/CAA Journal of Automatica Sinica,8(8),1451-1464.
MLA Xiaoxing Ren,et al."Distributed Subgradient Algorithm for Multi-Agent Optimization With Dynamic Stepsize".IEEE/CAA Journal of Automatica Sinica 8.8(2021):1451-1464.
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