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Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend
29 January 2019
Wendi Wu
Zongren Li
Yawei Zhao
Chenkai Yu
P. Zhao
Ji Liu
FedML
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Papers citing
"Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend"
22 / 22 papers shown
Title
Decentralized Learning in Online Queuing Systems
Flore Sentenac
Etienne Boursier
Vianney Perchet
42
16
0
08 Jun 2021
OD-SGD: One-step Delay Stochastic Gradient Descent for Distributed Training
Yemao Xu
Dezun Dong
Weixia Xu
Xiangke Liao
29
7
0
14 May 2020
Understand Dynamic Regret with Switching Cost for Online Decision Making
Yawei Zhao
Qian Zhao
Xingxing Zhang
En Zhu
Xinwang Liu
Jianping Yin
50
12
0
28 Nov 2019
Introduction to Online Convex Optimization
Elad Hazan
OffRL
175
1,932
0
07 Sep 2019
Stochastic Gradient Push for Distributed Deep Learning
Mahmoud Assran
Nicolas Loizou
Nicolas Ballas
Michael G. Rabbat
79
348
0
27 Nov 2018
Adaptive Online Learning in Dynamic Environments
Lijun Zhang
Shiyin Lu
Zhi Zhou
67
185
0
25 Oct 2018
Proximal Online Gradient is Optimum for Dynamic Regret
Yawei Zhao
Shuang Qiu
Ji Liu
26
7
0
08 Oct 2018
Communication Compression for Decentralized Training
Hanlin Tang
Shaoduo Gan
Ce Zhang
Tong Zhang
Ji Liu
63
273
0
17 Mar 2018
Online Machine Learning in Big Data Streams
András A. Benczúr
Levente Kocsis
Róbert Pálovics
38
43
0
16 Feb 2018
Tracking the Best Expert in Non-stationary Stochastic Environments
Chen-Yu Wei
Yi-Te Hong
Chi-Jen Lu
46
59
0
02 Dec 2017
Decentralized Online Learning with Kernels
Alec Koppel
Santiago Paternain
C. Richard
Alejandro Ribeiro
73
51
0
11 Oct 2017
Efficient tracking of a growing number of experts
Jaouad Mourtada
Odalric-Ambrym Maillard
52
22
0
31 Aug 2017
Improved Strongly Adaptive Online Learning using Coin Betting
Kwang-Sung Jun
Francesco Orabona
Rebecca Willett
S. Wright
173
82
0
14 Oct 2016
Distributed Online Optimization in Dynamic Environments Using Mirror Descent
Shahin Shahrampour
Ali Jadbabaie
228
281
0
09 Sep 2016
On Nonconvex Decentralized Gradient Descent
Jinshan Zeng
W. Yin
75
191
0
20 Aug 2016
Improved Dynamic Regret for Non-degenerate Functions
Lijun Zhang
Tianbao Yang
Jinfeng Yi
Jing Rong
Zhi Zhou
235
127
0
13 Aug 2016
Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient
Tianbao Yang
Lijun Zhang
Rong Jin
Jinfeng Yi
57
156
0
16 May 2016
Coordinate Dual Averaging for Decentralized Online Optimization with Nonseparable Global Objectives
Soomin Lee
A. Nedić
Maxim Raginsky
35
34
0
31 Aug 2015
Dynamical Models and Tracking Regret in Online Convex Programming
Eric C. Hall
Rebecca Willett
101
116
0
07 Jan 2013
Mirror Descent Meets Fixed Share (and feels no regret)
Nicolò Cesa-Bianchi
Pierre Gaillard
Gabor Lugosi
Gilles Stoltz
202
99
0
15 Feb 2012
Efficient Tracking of Large Classes of Experts
András Gyorgy
Tamás Linder
Gábor Lugosi
115
75
0
12 Oct 2011
Distributed Autonomous Online Learning: Regrets and Intrinsic Privacy-Preserving Properties
Feng Yan
S. Sundaram
S. V. N. Vishwanathan
Y. Qi
91
269
0
21 Jun 2010
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