On the Decentralized Stochastic Gradient Descent With Markov Chain Sampling-Reference-Cited by-同舟云学术

On the Decentralized Stochastic Gradient Descent With Markov Chain Sampling

Author:

Sun Tao¹^ORCID,Li Dongsheng¹^ORCID,Wang Bao²^ORCID

Affiliation:

1. College of Computer, National University of Defense Technology, Changsha, Hunan, China

2. Department of Mathematics, Scientific Computing and Imaging (SCI) Institute, University of Utah, Salt Lake City, UT, USA

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Young Elite Scientists Sponsorship Program by CAST

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

Reference62 articles.

1. Simple stochastic and online gradient descent algorithms for pairwise learning;yang;Proc Adv Neural Inf Process Syst,0

2. Adaptive random walk gradient descent for decentralized optimization;sun;Int Conf Mach Learn,0

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4. Convergence rates of accelerated Markov gradient descent with applications in reinforcement learning;doan,2020

5. Near optimal finite time identification of arbitrary linear dynamical systems;sarkar;Int Conf Mach Learn,0

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