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Stochastic Distributed Optimization for Machine Learning from
  Decentralized Features

Stochastic Distributed Optimization for Machine Learning from Decentralized Features

16 December 2018
Yaochen Hu
Di Niu
Jianming Yang
Shengping Zhou
ArXivPDFHTML

Papers citing "Stochastic Distributed Optimization for Machine Learning from Decentralized Features"

11 / 11 papers shown
Title
Demystifying Parallel and Distributed Deep Learning: An In-Depth
  Concurrency Analysis
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis
Tal Ben-Nun
Torsten Hoefler
GNN
52
705
0
26 Feb 2018
Deep Models Under the GAN: Information Leakage from Collaborative Deep
  Learning
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning
Briland Hitaj
G. Ateniese
Fernando Perez-Cruz
FedML
105
1,385
0
24 Feb 2017
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
324
18,300
0
27 May 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
229
17,235
0
17 Feb 2016
Strategies and Principles of Distributed Machine Learning on Big Data
Strategies and Principles of Distributed Machine Learning on Big Data
Eric Xing
Qirong Ho
P. Xie
Wei-Ming Dai
AI4CE
52
155
0
31 Dec 2015
MXNet: A Flexible and Efficient Machine Learning Library for
  Heterogeneous Distributed Systems
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
Tianqi Chen
Mu Li
Yutian Li
Min Lin
Naiyan Wang
Minjie Wang
Tianjun Xiao
Bing Xu
Chiyuan Zhang
Zheng Zhang
102
2,243
0
03 Dec 2015
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization
Xiangru Lian
Yijun Huang
Y. Li
Ji Liu
132
499
0
27 Jun 2015
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient
  Descent
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
Feng Niu
Benjamin Recht
Christopher Ré
Stephen J. Wright
126
2,272
0
28 Jun 2011
Parallel Coordinate Descent for L1-Regularized Loss Minimization
Parallel Coordinate Descent for L1-Regularized Loss Minimization
Joseph K. Bradley
Aapo Kyrola
Danny Bickson
Carlos Guestrin
60
309
0
26 May 2011
Optimal Distributed Online Prediction using Mini-Batches
Optimal Distributed Online Prediction using Mini-Batches
O. Dekel
Ran Gilad-Bachrach
Ohad Shamir
Lin Xiao
241
683
0
07 Dec 2010
Slow Learners are Fast
Slow Learners are Fast
John Langford
Alex Smola
Martin A. Zinkevich
64
390
0
03 Nov 2009
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