L1-Regularized Distributed Optimization: A Communication-Efficient
Primal-Dual Framework

v1v2 (latest)

L1-Regularized Distributed Optimization: A Communication-Efficient Primal-Dual Framework

13 December 2015

Michael I. Jordan

ArXiv (abs)PDF HTML

Papers citing "L1-Regularized Distributed Optimization: A Communication-Efficient Primal-Dual Framework"

9 / 9 papers shown

Title
Scalable Dual Coordinate Descent for Kernel Methods Zishan Shao Aditya Devarakonda 58 1 0 26 Jun 2024
Avoiding Communication in Proximal Methods for Convex Optimization Problems Saeed Soori Aditya Devarakonda J. Demmel Mert Gurbuzbalaban M. Dehnavi 29 7 0 24 Oct 2017
Stochastic, Distributed and Federated Optimization for Machine Learning Jakub Konecný FedML 83 38 0 04 Jul 2017
Understanding and Optimizing the Performance of Distributed Machine Learning Applications on Apache Spark Celestine Mendler-Dünner Thomas Parnell Kubilay Atasu Manolis Sifalakis H. Pozidis 122 17 0 05 Dec 2016
CoCoA: A General Framework for Communication-Efficient Distributed Optimization Virginia Smith Simone Forte Chenxin Ma Martin Takáč Michael I. Jordan Martin Jaggi 106 273 0 07 Nov 2016
Distributed Coordinate Descent for Generalized Linear Models with Regularization I. Trofimov A. Genkin 76 7 0 07 Nov 2016
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 178 1,912 0 08 Oct 2016
Primal-Dual Rates and Certificates Celestine Mendler-Dünner Simone Forte Martin Takáč Martin Jaggi 121 60 0 16 Feb 2016
Distributed Optimization with Arbitrary Local Solvers Chenxin Ma Jakub Konecný Martin Jaggi Virginia Smith Michael I. Jordan Peter Richtárik Martin Takáč 130 197 0 13 Dec 2015