Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss

1 January 2015

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

17 / 17 papers shown

Title
Adaptive Consensus: A network pruning approach for decentralized optimization S. Shah A. Berahas Raghu Bollapragada 30 2 0 06 Sep 2023
Communication-Efficient Edge AI: Algorithms and Systems Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 29 327 0 22 Feb 2020
Complexity of Highly Parallel Non-Smooth Convex Optimization Sébastien Bubeck Qijia Jiang Y. Lee Yuanzhi Li Aaron Sidford 23 55 0 25 Jun 2019
Distributed Stochastic Optimization via Adaptive SGD Ashok Cutkosky R. Busa-Fekete FedML 33 21 0 16 Feb 2018
Randomized block proximal damped Newton method for composite self-concordant minimization Zhaosong Lu 22 11 0 01 Jul 2016
Tight Complexity Bounds for Optimizing Composite Objectives Blake E. Woodworth Nathan Srebro 36 185 0 25 May 2016
Efficient Distributed Learning with Sparsity Jialei Wang Mladen Kolar Nathan Srebro Tong Zhang FedML 34 151 0 25 May 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 71 17,088 0 17 Feb 2016
Federated Optimization:Distributed Optimization Beyond the Datacenter Jakub Konecný H. B. McMahan Daniel Ramage FedML 30 728 0 11 Nov 2015
Partitioning Data on Features or Samples in Communication-Efficient Distributed Optimization? Chenxin Ma Martin Takáč 25 11 0 22 Oct 2015
Distributed Stochastic Variance Reduced Gradient Methods and A Lower Bound for Communication Complexity Jason D. Lee Qihang Lin Tengyu Ma Tianbao Yang FedML 31 16 0 27 Jul 2015
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 29 174 0 24 Jun 2015
Communication Complexity of Distributed Convex Learning and Optimization Yossi Arjevani Ohad Shamir 39 207 0 05 Jun 2015
An Asynchronous Mini-Batch Algorithm for Regularized Stochastic Optimization Hamid Reza Feyzmahdavian Arda Aytekin M. Johansson 16 118 0 18 May 2015
Adding vs. Averaging in Distributed Primal-Dual Optimization Chenxin Ma Virginia Smith Martin Jaggi Michael I. Jordan Peter Richtárik Martin Takáč FedML 31 176 0 12 Feb 2015
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 93 737 0 19 Mar 2014
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 182 683 0 07 Dec 2010