Push-LSVRG-UP: Distributed Stochastic Optimization Over Unbalanced Directed Networks With Uncoordinated Triggered Probabilities-Reference-Cited by-同舟云学术

Push-LSVRG-UP: Distributed Stochastic Optimization Over Unbalanced Directed Networks With Uncoordinated Triggered Probabilities

Published:2023-03-01 Issue:2 Volume:10 Page:934-950
ISSN:2327-4697
Container-title:IEEE Transactions on Network Science and Engineering
language:
Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Hu Jinhui¹^ORCID,Chen Guo¹^ORCID,Li Huaqing²^ORCID,Shen Zixiang¹,Zhang Weidong³^ORCID

Affiliation:

1. Department of Automation, Central South University, Changsha, China

2. Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing, China

3. School of Information and Communication Engineering, Hainan University, Haikou, China

Funder

National Natural Science Foundation of China

Hainan Province Science and Technology Special Fund

Shanghai Scientific and Technological Innovation Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/6488902/10051159/09964422.pdf?arnumber=9964422

Reference47 articles.

1. A Distributed Stochastic Gradient Tracking Method

2. Variance-Reduced Stochastic Learning by Networked Agents Under Random Reshuffling

3. Variance-Reduced Decentralized Stochastic Optimization With Accelerated Convergence

4. Don't jump through hoops and remove those loops: SVRG and Katyusha are better without the outer loop;kovalev;Proc Algorithmic Learn Theory,0

5. Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling

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