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Supervised Learning Under Distributed Features

Supervised Learning Under Distributed Features

29 May 2018
Bicheng Ying
Kun Yuan
Ali H. Sayed
ArXivPDFHTML

Papers citing "Supervised Learning Under Distributed Features"

16 / 16 papers shown
Title
Communication-efficient Vertical Federated Learning via Compressed Error Feedback
Communication-efficient Vertical Federated Learning via Compressed Error Feedback
Pedro Valdeira
João Xavier
Cláudia Soares
Yuejie Chi
FedML
62
4
0
20 Jun 2024
Distributed Big-Data Optimization via Block-Iterative Convexification
  and Averaging
Distributed Big-Data Optimization via Block-Iterative Convexification and Averaging
Ivano Notarnicola
Ying Sun
G. Scutari
G. Notarstefano
27
13
0
02 May 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
36
98
0
20 Mar 2018
Distributed Learning for Stochastic Generalized Nash Equilibrium
  Problems
Distributed Learning for Stochastic Generalized Nash Equilibrium Problems
Chung-Kai Yu
M. Schaar
Ali H. Sayed
54
85
0
29 Jul 2016
Coordinate-Descent Diffusion Learning by Networked Agents
Coordinate-Descent Diffusion Learning by Networked Agents
Chengcheng Wang
Yonggang Zhang
Bicheng Ying
Ali H. Sayed
52
16
0
06 Jul 2016
Doubly Random Parallel Stochastic Methods for Large Scale Learning
Doubly Random Parallel Stochastic Methods for Large Scale Learning
Aryan Mokhtari
Alec Koppel
Alejandro Ribeiro
26
15
0
22 Mar 2016
SDCA without Duality, Regularization, and Individual Convexity
SDCA without Duality, Regularization, and Individual Convexity
Shai Shalev-Shwartz
29
104
0
04 Feb 2016
NEXT: In-Network Nonconvex Optimization
NEXT: In-Network Nonconvex Optimization
P. Lorenzo
G. Scutari
84
505
0
01 Feb 2016
ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate
  Updates
ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate Updates
Zhimin Peng
Yangyang Xu
Ming Yan
W. Yin
47
258
0
08 Jun 2015
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly
  Convex Composite Objectives
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives
Aaron Defazio
Francis R. Bach
Simon Lacoste-Julien
ODL
105
1,817
0
01 Jul 2014
Dictionary Learning over Distributed Models
Dictionary Learning over Distributed Models
Jianshu Chen
Zaid J. Towfic
Ali H. Sayed
FedML
62
95
0
06 Feb 2014
A Survey on Multi-view Learning
A Survey on Multi-view Learning
Chang Xu
Dacheng Tao
Chao Xu
AI4TS
60
1,123
0
20 Apr 2013
Stochastic Dual Coordinate Ascent Methods for Regularized Loss
  Minimization
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization
Shai Shalev-Shwartz
Tong Zhang
109
1,031
0
10 Sep 2012
Distributed Pareto Optimization via Diffusion Strategies
Distributed Pareto Optimization via Diffusion Strategies
Jianshu Chen
Ali H. Sayed
87
174
0
13 Aug 2012
Distributed Delayed Stochastic Optimization
Distributed Delayed Stochastic Optimization
Alekh Agarwal
John C. Duchi
108
626
0
28 Apr 2011
Distributed Consensus Algorithms in Sensor Networks: Link Failures and
  Channel Noise
Distributed Consensus Algorithms in Sensor Networks: Link Failures and Channel Noise
S. Kar
José M. F. Moura
99
672
0
25 Nov 2007
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