A Fenchel dual gradient method enabling regularization for nonsmooth distributed optimization over time-varying networks-Reference-Cited by-同舟云学术

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A Fenchel dual gradient method enabling regularization for nonsmooth distributed optimization over time-varying networks

Published:2023-03-28 Issue:4 Volume:38 Page:813-836
ISSN:1055-6788
Container-title:Optimization Methods and Software
language:en
Short-container-title:Optimization Methods and Software

Author:

Wu Xuyang¹^ORCID,Sou Kin Cheong²^ORCID,Lu Jie³^ORCID

Affiliation:

1. Division of Decision and Control Systems, KTH Royal Institute of Technology, Stockholm, Sweden

2. Department of Electrical Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan

3. School of Information Science and Technology, ShanghaiTech University, China and Shanghai Engineering Research Center of Energy Efficient and Custom AI IC, Shanghai, People's Republic of China

Funder

National Natural Science Foundation of China

Ministry of Science and Technology (MOST) of Taiwan

Publisher

Informa UK Limited

Subject

Applied Mathematics,Control and Optimization,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/10556788.2023.2189713

Reference29 articles.

1. N.S. Aybat and E.Y. Hamedani, A primal-dual method for conic constrained distributed optimization problems, in Proc. International Conference on Neural Information Processing Systems, Barcelona, Spain, 2016, pp. 5056–5064.

2. Robust Computation of Aggregates in Wireless Sensor Networks: Distributed Randomized Algorithms and Analysis

3. Double Smoothing Technique for Large-Scale Linearly Constrained Convex Optimization

4. Algebraic connectivity of graphs

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