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Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning
28 June 2019
Shi Pu
Alexander Olshevsky
I. Paschalidis
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Papers citing
"Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning"
6 / 6 papers shown
Title
CEDAS: A Compressed Decentralized Stochastic Gradient Method with Improved Convergence
Kun-Yen Huang
Shin-Yi Pu
30
9
0
14 Jan 2023
Heavy-Tail Phenomenon in Decentralized SGD
Mert Gurbuzbalaban
Yuanhan Hu
Umut Simsekli
Kun Yuan
Lingjiong Zhu
19
8
0
13 May 2022
Distributed Random Reshuffling over Networks
Kun-Yen Huang
Xiao Li
Andre Milzarek
Shi Pu
Junwen Qiu
34
11
0
31 Dec 2021
S-ADDOPT: Decentralized stochastic first-order optimization over directed graphs
Muhammad I. Qureshi
Ran Xin
S. Kar
U. Khan
15
33
0
15 May 2020
A Robust Gradient Tracking Method for Distributed Optimization over Directed Networks
Shi Pu
19
38
0
31 Mar 2020
Swarming for Faster Convergence in Stochastic Optimization
Shi Pu
Alfredo García
32
15
0
11 Jun 2018
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