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Distributed Stochastic Gradient Tracking Methods

Distributed Stochastic Gradient Tracking Methods

25 May 2018
Shi Pu
A. Nedić
ArXivPDFHTML

Papers citing "Distributed Stochastic Gradient Tracking Methods"

17 / 117 papers shown
Title
Push-SAGA: A decentralized stochastic algorithm with variance reduction
  over directed graphs
Push-SAGA: A decentralized stochastic algorithm with variance reduction over directed graphs
Muhammad I. Qureshi
Ran Xin
S. Kar
U. Khan
32
20
0
13 Aug 2020
An improved convergence analysis for decentralized online stochastic
  non-convex optimization
An improved convergence analysis for decentralized online stochastic non-convex optimization
Ran Xin
U. Khan
S. Kar
44
100
0
10 Aug 2020
PowerGossip: Practical Low-Rank Communication Compression in
  Decentralized Deep Learning
PowerGossip: Practical Low-Rank Communication Compression in Decentralized Deep Learning
Thijs Vogels
Sai Praneeth Karimireddy
Martin Jaggi
FedML
11
54
0
04 Aug 2020
Incremental Without Replacement Sampling in Nonconvex Optimization
Incremental Without Replacement Sampling in Nonconvex Optimization
Edouard Pauwels
38
5
0
15 Jul 2020
S-ADDOPT: Decentralized stochastic first-order optimization over
  directed graphs
S-ADDOPT: Decentralized stochastic first-order optimization over directed graphs
Muhammad I. Qureshi
Ran Xin
S. Kar
U. Khan
23
33
0
15 May 2020
A Robust Gradient Tracking Method for Distributed Optimization over
  Directed Networks
A Robust Gradient Tracking Method for Distributed Optimization over Directed Networks
Shi Pu
29
38
0
31 Mar 2020
Distributed Deep Learning with Event-Triggered Communication
Distributed Deep Learning with Event-Triggered Communication
Jemin George
Prudhvi K. Gurram
16
16
0
08 Sep 2019
BRIDGE: Byzantine-resilient Decentralized Gradient Descent
BRIDGE: Byzantine-resilient Decentralized Gradient Descent
Cheng Fang
Zhixiong Yang
W. Bajwa
19
96
0
21 Aug 2019
Asymptotic Network Independence in Distributed Stochastic Optimization
  for Machine Learning
Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning
Shi Pu
Alexander Olshevsky
I. Paschalidis
31
41
0
28 Jun 2019
A Sharp Estimate on the Transient Time of Distributed Stochastic
  Gradient Descent
A Sharp Estimate on the Transient Time of Distributed Stochastic Gradient Descent
Shi Pu
Alexander Olshevsky
I. Paschalidis
31
18
0
06 Jun 2019
Push-Pull Gradient Methods for Distributed Optimization in Networks
Push-Pull Gradient Methods for Distributed Optimization in Networks
Shi Pu
Wei Shi
Jinming Xu
A. Nedić
16
318
0
15 Oct 2018
A Canonical Form for First-Order Distributed Optimization Algorithms
A Canonical Form for First-Order Distributed Optimization Algorithms
Akhil Sundararajan
Bryan Van Scoy
Laurent Lessard
9
27
0
24 Sep 2018
Swarming for Faster Convergence in Stochastic Optimization
Swarming for Faster Convergence in Stochastic Optimization
Shi Pu
Alfredo García
37
16
0
11 Jun 2018
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual
  Optimization
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization
Hoi-To Wai
Zhuoran Yang
Zhaoran Wang
Mingyi Hong
30
169
0
03 Jun 2018
On Consensus-Optimality Trade-offs in Collaborative Deep Learning
On Consensus-Optimality Trade-offs in Collaborative Deep Learning
Zhanhong Jiang
Aditya Balu
Chinmay Hegde
Soumik Sarkar
FedML
33
7
0
30 May 2018
A Distributed Stochastic Gradient Tracking Method
A Distributed Stochastic Gradient Tracking Method
Shi Pu
A. Nedić
29
60
0
21 Mar 2018
A Push-Pull Gradient Method for Distributed Optimization in Networks
A Push-Pull Gradient Method for Distributed Optimization in Networks
Shi Pu
Wei Shi
Jinming Xu
A. Nedić
19
98
0
20 Mar 2018
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