MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods-Reference-Cited by-同舟云学术

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MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods

Published:2024 Issue: Volume: Page:1-15
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Wu Mou¹^ORCID,Liao Haibin²^ORCID,Ding Zhengtao³^ORCID,Xiao Yonggang¹^ORCID

Affiliation:

1. School of Computer Science and Technology and the Laboratory of Optoelectronic Information and Intelligent Control, Hubei University of Science and Technology, Xianning, China

2. School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan, China

3. Department of Electrical and Electronic Engineering, The University of Manchester, Manchester, U.K.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hubei Province

Outstanding Young and Middle-Aged Science and Technology Innovation Team of Universities in Hubei Province

Innovation Team of Hubei University of Science and Technology

Science and Technology Planning Project of Xianning City

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10479162.pdf?arnumber=10479162

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Accelerated Gradient Descent Algorithm for Systems With Missing Input Data Using Inverse Auxiliary Model;IEEE Access;2024

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