Achieving Linear Convergence in Distributed Aggregative Optimization Over Directed Graphs-Reference-Cited by-同舟云学术

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Achieving Linear Convergence in Distributed Aggregative Optimization Over Directed Graphs

Published:2024-07 Issue:7 Volume:54 Page:4529-4541
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Chen Liyuan¹^ORCID,Wen Guanghui¹^ORCID,Fang Xiao¹^ORCID,Zhou Jialing²^ORCID,Cao Jinde³^ORCID

Affiliation:

1. Department of Systems Science, School of Mathematics, Laboratory of Security Operation and Control for Intelligent Autonomous Systems, Southeast University, Nanjing, China

2. MIIT Key Laboratory of Complex-field Intelligent Sensing, Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing, China

3. School of Mathematics, Southeast University, Nanjing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221021/10559915/10500887.pdf?arnumber=10500887

Reference47 articles.

1. Communicating While Computing: Distributed mobile cloud computing over 5G heterogeneous networks

2. A Collaborative Training Algorithm for Distributed Learning

3. Cooperative Optimization of Dual Multiagent System for Optimal Resource Allocation

4. Distributed Subgradient Methods for Multi-Agent Optimization

5. Event-triggered distributed optimization algorithms;Yang;Acta Automatica Sinica,2022

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