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A Sharp Estimate on the Transient Time of Distributed Stochastic
  Gradient Descent
v1v2v3v4v5v6v7v8v9v10v11 (latest)

A Sharp Estimate on the Transient Time of Distributed Stochastic Gradient Descent

6 June 2019
Shi Pu
Alexander Olshevsky
I. Paschalidis
ArXiv (abs)PDFHTML

Papers citing "A Sharp Estimate on the Transient Time of Distributed Stochastic Gradient Descent"

5 / 5 papers shown
A Unified Theory of Decentralized SGD with Changing Topology and Local
  Updates
A Unified Theory of Decentralized SGD with Changing Topology and Local UpdatesInternational Conference on Machine Learning (ICML), 2020
Anastasia Koloskova
Nicolas Loizou
Sadra Boreiri
Martin Jaggi
Sebastian U. Stich
FedML
787
618
0
23 Mar 2020
Decentralized gradient methods: does topology matter?
Decentralized gradient methods: does topology matter?International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Giovanni Neglia
Chuan Xu
Don Towsley
G. Calbi
232
63
0
28 Feb 2020
Gradient tracking and variance reduction for decentralized optimization
  and machine learning
Gradient tracking and variance reduction for decentralized optimization and machine learning
Ran Xin
S. Kar
U. Khan
234
10
0
13 Feb 2020
Robust Distributed Accelerated Stochastic Gradient Methods for
  Multi-Agent Networks
Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent NetworksJournal of machine learning research (JMLR), 2019
Alireza Fallah
Mert Gurbuzbalaban
Asuman Ozdaglar
Umut Simsekli
Lingjiong Zhu
302
32
0
19 Oct 2019
Asymptotic Network Independence in Distributed Stochastic Optimization
  for Machine Learning
Asymptotic Network Independence in Distributed Stochastic Optimization for Machine LearningIEEE Signal Processing Magazine (IEEE SPM), 2019
Shi Pu
Alexander Olshevsky
I. Paschalidis
592
49
0
28 Jun 2019
1
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