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An improved convergence analysis for decentralized online stochastic
  non-convex optimization

An improved convergence analysis for decentralized online stochastic non-convex optimization

10 August 2020
Ran Xin
U. Khan
S. Kar
ArXivPDFHTML

Papers citing "An improved convergence analysis for decentralized online stochastic non-convex optimization"

4 / 54 papers shown
Title
A general framework for decentralized optimization with first-order
  methods
A general framework for decentralized optimization with first-order methods
Ran Xin
Shi Pu
Angelia Nedić
U. Khan
17
87
0
12 Sep 2020
Fast decentralized non-convex finite-sum optimization with recursive
  variance reduction
Fast decentralized non-convex finite-sum optimization with recursive variance reduction
Ran Xin
U. Khan
S. Kar
21
43
0
17 Aug 2020
Optimal Complexity in Decentralized Training
Optimal Complexity in Decentralized Training
Yucheng Lu
Christopher De Sa
38
72
0
15 Jun 2020
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark Schmidt
139
1,205
0
16 Aug 2016
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