Distributed Sparse Optimization With Weakly Convex Regularizer: Consensus Promoting and Approximate Moreau Enhanced Penalties Towards Global Optimality-Reference-Cited by-同舟云学术

Distributed Sparse Optimization With Weakly Convex Regularizer: Consensus Promoting and Approximate Moreau Enhanced Penalties Towards Global Optimality

Published:2022 Issue: Volume:8 Page:514-527
ISSN:2373-776X
Container-title:IEEE Transactions on Signal and Information Processing over Networks
language:
Short-container-title:IEEE Trans. on Signal and Inf. Process. over Networks

Author:

Komuro Kei¹^ORCID,Yukawa Masahiro¹^ORCID,Cavalcante Renato Luis Garrido²^ORCID

Affiliation:

1. Department of Electronics and Electrical Engineering, Keio University, Yokohama, Kanagawa, Japan

2. Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Berlin, Germany

Funder

JST SICORP

Federal Ministry of Education and Research of Germany

Program Souverän. Digital. Vernetzt. Joint Project 6G-RIC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6884276/9666472/09794609.pdf?arnumber=9794609

Reference50 articles.

1. Dependable distributed nonconvex optimization via polynomial approximation;he;arXiv 2101 06127 [math OC],2021

2. Distributed nonconvex optimization: Gradient-free iterations and $\epsilon$-globally optimal solution;he;arXiv 2008 00252 [math OC],2021

3. NEXT: In-Network Nonconvex Optimization

4. Distributed nonconvex optimization over time-varying networks

5. Nonconvex alternating direction method of multipliers for distributed sparse principal component analysis

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