Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss

1 January 2015

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

21 / 21 papers shown

Title
Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery Caixing Wang Ziliang Shen 82 0 0 13 May 2024
Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization Aymeric Dieuleveut Lin Xiao Sébastien Bubeck Francis R. Bach Laurent Massoulie 74 58 0 25 Feb 2020
Communication-Efficient Edge AI: Algorithms and Systems Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 99 335 0 22 Feb 2020
Complexity of Highly Parallel Non-Smooth Convex Optimization Sébastien Bubeck Qijia Jiang Y. Lee Yuanzhi Li Aaron Sidford 88 56 0 25 Jun 2019
Scaling Up Quasi-Newton Algorithms: Communication Efficient Distributed SR1 Majid Jahani M. Nazari S. Rusakov A. Berahas Martin Takávc 77 14 0 30 May 2019
Communication trade-offs for synchronized distributed SGD with large step size Kumar Kshitij Patel Hadrien Hendrikx FedML 66 27 0 25 Apr 2019
Distributed Stochastic Optimization via Adaptive SGD Ashok Cutkosky R. Busa-Fekete FedML 85 21 0 16 Feb 2018
An Accelerated Communication-Efficient Primal-Dual Optimization Framework for Structured Machine Learning Chenxin Ma Martin Jaggi Frank E. Curtis Nathan Srebro Martin Takáč 46 9 0 14 Nov 2017
Randomized block proximal damped Newton method for composite self-concordant minimization Zhaosong Lu 69 11 0 01 Jul 2016
Tight Complexity Bounds for Optimizing Composite Objectives Blake E. Woodworth Nathan Srebro 157 185 0 25 May 2016
Efficient Distributed Learning with Sparsity Jialei Wang Mladen Kolar Nathan Srebro Tong Zhang FedML 90 152 0 25 May 2016
A Multi-Batch L-BFGS Method for Machine Learning A. Berahas J. Nocedal Martin Takáč ODL 112 112 0 19 May 2016
Distributed Inexact Damped Newton Method: Data Partitioning and Load-Balancing Chenxin Ma Martin Takáč 88 10 0 16 Mar 2016
Distributed Multi-Task Learning with Shared Representation Jialei Wang Mladen Kolar Nathan Srebro 53 22 0 07 Mar 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 500 17,770 0 17 Feb 2016
Federated Optimization:Distributed Optimization Beyond the Datacenter Jakub Konecný H. B. McMahan Daniel Ramage FedML 159 746 0 11 Nov 2015
Partitioning Data on Features or Samples in Communication-Efficient Distributed Optimization? Chenxin Ma Martin Takáč 112 11 0 22 Oct 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 117 175 0 24 Jun 2015
Communication Complexity of Distributed Convex Learning and Optimization Yossi Arjevani Ohad Shamir 119 209 0 05 Jun 2015
An Asynchronous Mini-Batch Algorithm for Regularized Stochastic Optimization Hamid Reza Feyzmahdavian Arda Aytekin M. Johansson 77 117 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 167 176 0 12 Feb 2015