Decentralized optimization with affine constraints over time-varying networks-Reference-Cited by-同舟云学术

Decentralized optimization with affine constraints over time-varying networks

Published:2023-12-07 Issue:1 Volume:21 Page:
ISSN:1619-697X
Container-title:Computational Management Science
language:en
Short-container-title:Comput Manag Sci

Author:

Yarmoshik Demyan,Rogozin Alexander,Gasnikov Alexander

Funder

Analytical Center for the Government of the Russian Federation

Publisher

Springer Science and Business Media LLC

Subject

Management Information Systems,Business, Management and Accounting (miscellaneous),Management Science and Operations Research,Statistics, Probability and Uncertainty

Link

https://link.springer.com/content/pdf/10.1007/s10287-023-00492-w.pdf

Reference28 articles.

1. Alghunaim S.A, Yuan K, Sayed A.H (2018) Dual coupled diffusion for distributed optimization with affine constraints. In: 2018 IEEE Conference on decision and control (CDC). IEEE, pp. 829–834

2. Aybat NS, Hamedani EY (2019) A distributed admm-like method for resource sharing over time-varying networks. SIAM J Optim 29(4):3036–3068

3. Carli R, Dotoli M (2019) Distributed alternating direction method of multipliers for linearly constrained optimization over a network. IEEE Control Syst Lett 4(1):247–252

4. Chang T-H (2016) A proximal dual consensus admm method for multi-agent constrained optimization. IEEE Trans Signal Process 64(14):3719–3734

5. Gong K, Zhang L (2023) Push-pull based distributed primal-dual algorithm for coupled constrained convex optimization in multi-agent networks. Available at SSRN 4109852

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1. Editorial;Computational Management Science;2024-05-19