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Optimal Algorithms for Distributed Optimization
v1v2v3 (latest)

Optimal Algorithms for Distributed Optimization

1 December 2017
César A. Uribe
Soomin Lee
Alexander Gasnikov
A. Nedić
ArXiv (abs)PDFHTML

Papers citing "Optimal Algorithms for Distributed Optimization"

11 / 11 papers shown
Title
Compressed Gradient Tracking for Decentralized Optimization Over General
  Directed Networks
Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks
Zhuoqing Song
Lei Shi
Shi Pu
Ming Yan
95
25
0
14 Jun 2021
A Robust Gradient Tracking Method for Distributed Optimization over
  Directed Networks
A Robust Gradient Tracking Method for Distributed Optimization over Directed Networks
Shi Pu
77
41
0
31 Mar 2020
Improved Differentially Private Decentralized Source Separation for fMRI
  Data
Improved Differentially Private Decentralized Source Separation for fMRI Data
H. Imtiaz
Jafar Mohammadi
Rogers F. Silva
Bradley T. Baker
Sergey Plis
Anand D. Sarwate
Vince D. Calhoun
OOD
38
5
0
28 Oct 2019
A Linearly Convergent Proximal Gradient Algorithm for Decentralized
  Optimization
A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization
Sulaiman A. Alghunaim
Kun Yuan
Ali H. Sayed
82
62
0
20 May 2019
Distributed Differentially Private Computation of Functions with
  Correlated Noise
Distributed Differentially Private Computation of Functions with Correlated Noise
H. Imtiaz
Jafar Mohammadi
Anand D. Sarwate
OOD
34
10
0
22 Apr 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
86
322
0
15 Oct 2018
A Dual Approach for Optimal Algorithms in Distributed Optimization over
  Networks
A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks
César A. Uribe
Soomin Lee
Alexander Gasnikov
A. Nedić
99
137
0
03 Sep 2018
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters
Pavel Dvurechensky
D. Dvinskikh
Alexander Gasnikov
César A. Uribe
Angelia Nedić
74
106
0
11 Jun 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
75
98
0
20 Mar 2018
Distributed Computation of Wasserstein Barycenters over Networks
Distributed Computation of Wasserstein Barycenters over Networks
César A. Uribe
D. Dvinskikh
Pavel Dvurechensky
Alexander Gasnikov
A. Nedić
56
53
0
08 Mar 2018
A decentralized proximal-gradient method with network independent
  step-sizes and separated convergence rates
A decentralized proximal-gradient method with network independent step-sizes and separated convergence rates
Zhi Li
W. Shi
Ming Yan
95
226
0
25 Apr 2017
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