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Communication-Efficient Distributed Optimization of Self-Concordant
  Empirical Loss

Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss

1 January 2015
Yuchen Zhang
Lin Xiao
ArXivPDFHTML

Papers citing "Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss"

11 / 11 papers shown
Title
Adaptive Consensus: A network pruning approach for decentralized
  optimization
Adaptive Consensus: A network pruning approach for decentralized optimization
S. Shah
A. Berahas
Raghu Bollapragada
22
2
0
06 Sep 2023
Communication-Efficient Edge AI: Algorithms and Systems
Communication-Efficient Edge AI: Algorithms and Systems
Yuanming Shi
Kai Yang
Tao Jiang
Jun Zhang
Khaled B. Letaief
GNN
17
326
0
22 Feb 2020
Complexity of Highly Parallel Non-Smooth Convex Optimization
Complexity of Highly Parallel Non-Smooth Convex Optimization
Sébastien Bubeck
Qijia Jiang
Y. Lee
Yuanzhi Li
Aaron Sidford
23
55
0
25 Jun 2019
Randomized block proximal damped Newton method for composite
  self-concordant minimization
Randomized block proximal damped Newton method for composite self-concordant minimization
Zhaosong Lu
14
11
0
01 Jul 2016
Tight Complexity Bounds for Optimizing Composite Objectives
Tight Complexity Bounds for Optimizing Composite Objectives
Blake E. Woodworth
Nathan Srebro
26
185
0
25 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
24
16,996
0
17 Feb 2016
Communication Lower Bounds for Statistical Estimation Problems via a
  Distributed Data Processing Inequality
Communication Lower Bounds for Statistical Estimation Problems via a Distributed Data Processing Inequality
M. Braverman
A. Garg
Tengyu Ma
Huy Le Nguyen
David P. Woodruff
FedML
23
174
0
24 Jun 2015
Communication Complexity of Distributed Convex Learning and Optimization
Communication Complexity of Distributed Convex Learning and Optimization
Yossi Arjevani
Ohad Shamir
31
207
0
05 Jun 2015
Adding vs. Averaging in Distributed Primal-Dual Optimization
Adding vs. Averaging in Distributed Primal-Dual Optimization
Chenxin Ma
Virginia Smith
Martin Jaggi
Michael I. Jordan
Peter Richtárik
Martin Takáč
FedML
23
176
0
12 Feb 2015
A Proximal Stochastic Gradient Method with Progressive Variance
  Reduction
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
90
736
0
19 Mar 2014
Optimal Distributed Online Prediction using Mini-Batches
Optimal Distributed Online Prediction using Mini-Batches
O. Dekel
Ran Gilad-Bachrach
Ohad Shamir
Lin Xiao
177
683
0
07 Dec 2010
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