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1511.02942
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ExtraPush for convex smooth decentralized optimization over directed networks
10 November 2015
Jinshan Zeng
W. Yin
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Papers citing
"ExtraPush for convex smooth decentralized optimization over directed networks"
22 / 22 papers shown
Title
Asymmetrically Decentralized Federated Learning
IEEE transactions on computers (IEEE Trans. Comput.), 2023
Qinglun Li
Miao Zhang
Nan Yin
Quanjun Yin
Li Shen
FedML
227
6
0
08 Oct 2023
Distributed Conjugate Gradient Method via Conjugate Direction Tracking
American Control Conference (ACC), 2023
O. Shorinwa
Mac Schwager
150
2
0
21 Sep 2023
Distributed Optimization Methods for Multi-Robot Systems: Part II -- A Survey
IEEE robotics & automation magazine (IEEE RAM), 2023
O. Shorinwa
Trevor Halsted
Javier Yu
Mac Schwager
225
30
0
26 Jan 2023
Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks
IEEE Transactions on Signal Processing (IEEE TSP), 2021
Zhuoqing Song
Lei Shi
Shi Pu
Ming Yan
197
32
0
14 Jun 2021
A Survey of Distributed Optimization Methods for Multi-Robot Systems
Trevor Halsted
O. Shorinwa
Javier Yu
Mac Schwager
220
47
0
23 Mar 2021
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
Neural Information Processing Systems (NeurIPS), 2020
Othmane Marfoq
Chuan Xu
Giovanni Neglia
Richard Vidal
FedML
282
104
0
23 Oct 2020
A Robust Gradient Tracking Method for Distributed Optimization over Directed Networks
IEEE Conference on Decision and Control (CDC), 2020
Shi Pu
236
49
0
31 Mar 2020
Quantized Decentralized Stochastic Learning over Directed Graphs
International Conference on Machine Learning (ICML), 2020
Hossein Taheri
Aryan Mokhtari
Hamed Hassani
Ramtin Pedarsani
334
5
0
23 Feb 2020
Gradient-Consensus: Linearly Convergent Distributed Optimization Algorithm over Directed Graphs
Vivek Khatana
Govind Saraswat
Sourav Patel
M. Salapaka
155
2
0
22 Sep 2019
On linear convergence of two decentralized algorithms
Yao Li
Ming Yan
138
7
0
17 Jun 2019
Distributed Optimization Based on Gradient-tracking Revisited: Enhancing Convergence Rate via Surrogation
Ying Sun
Amir Daneshmand
G. Scutari
306
56
0
07 May 2019
Push-Pull Gradient Methods for Distributed Optimization in Networks
Shi Pu
Wei Shi
Jinming Xu
A. Nedić
282
373
0
15 Oct 2018
AsySPA: An Exact Asynchronous Algorithm for Convex Optimization Over Digraphs
Jiaqi Zhang
Keyou You
141
80
0
13 Aug 2018
Distributed Optimization over Directed Graphs with Row Stochasticity and Constraint Regularity
V. Mai
E. Abed
100
98
0
19 Jun 2018
Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization
Xianghui Mao
Kun Yuan
Yubin Hu
Yuantao Gu
Ali H. Sayed
W. Yin
249
66
0
18 Apr 2018
Asynchronous Gradient-Push
Mahmoud Assran
Michael G. Rabbat
175
69
0
23 Mar 2018
A Push-Pull Gradient Method for Distributed Optimization in Networks
Shi Pu
Wei Shi
Jinming Xu
A. Nedić
219
101
0
20 Mar 2018
Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization
A. Nedić
Alexander Olshevsky
Michael G. Rabbat
226
549
0
26 Sep 2017
Improved Convergence Rates for Distributed Resource Allocation
A. Nedić
Alexander Olshevsky
Wei Shi
178
86
0
16 Jun 2017
A decentralized proximal-gradient method with network independent step-sizes and separated convergence rates
Zhi Li
W. Shi
Ming Yan
198
247
0
25 Apr 2017
Distributed Convex Optimization with Inequality Constraints over Time-varying Unbalanced Digraphs
IEEE Transactions on Automatic Control (IEEE TAC), 2016
Pei Xie
Keyou You
R. Tempo
Shiji Song
Cheng Wu
203
114
0
29 Dec 2016
Geometrically Convergent Distributed Optimization with Uncoordinated Step-Sizes
A. Nedić
Alexander Olshevsky
Wei Shi
César A. Uribe
133
147
0
19 Sep 2016
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