A distributed block coordinate descent method for training $l_1$
regularized linear classifiers

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A distributed block coordinate descent method for training $l_1$ regularized linear classifiers

18 May 2014

S. Sundararajan

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Papers citing "A distributed block coordinate descent method for training $l_1$ regularized linear classifiers"

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Title
Hidden State Differential Private Mini-Batch Block Coordinate Descent for Multi-convexity Optimization Ding Chen Chen Liu FedML 79 0 0 11 Jul 2024
Federated Coordinate Descent for Privacy-Preserving Multiparty Linear Regression Xinlin Leng Chenxu Li Weifeng Xu Yuyan Sun Hongtao Wang FedML 49 1 0 16 Sep 2022
Doubly Optimal No-Regret Online Learning in Strongly Monotone Games with Bandit Feedback Wenjia Ba Tianyi Lin Jiawei Zhang Zhengyuan Zhou 47 9 0 06 Dec 2021
Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning Anirban Das Timothy Castiglia Shiqiang Wang S. Patterson FedML 96 23 0 19 Aug 2021
Randomized Block-Diagonal Preconditioning for Parallel Learning Celestine Mendler-Dünner Aurelien Lucchi 22 1 0 24 Jun 2020
Communication-Efficient Distributed Deep Learning: A Comprehensive Survey Zhenheng Tang Shaoshuai Shi Wei Wang Yue Liu Xiaowen Chu 80 49 0 10 Mar 2020
Cost Sensitive Learning in the Presence of Symmetric Label Noise Sandhya Tripathi N. Hemachandra NoLa 474 6 0 08 Jan 2019
A Distributed Second-Order Algorithm You Can Trust Celestine Mendler-Dünner Aurelien Lucchi Matilde Gargiani An Bian Thomas Hofmann Martin Jaggi 68 32 0 20 Jun 2018
Proximal SCOPE for Distributed Sparse Learning: Better Data Partition Implies Faster Convergence Rate Shen-Yi Zhao Gong-Duo Zhang Ming-Wei Li Wu-Jun Li 40 8 0 15 Mar 2018
Global Convergence of Block Coordinate Descent in Deep Learning Jinshan Zeng Tim Tsz-Kit Lau Shaobo Lin Yuan Yao 89 79 0 01 Mar 2018
Large-Scale Stochastic Learning using GPUs Thomas Parnell Celestine Mendler-Dünner Kubilay Atasu Manolis Sifalakis Haris Pozidis 49 14 0 22 Feb 2017
Linear convergence of SDCA in statistical estimation Chao Qu Huan Xu 75 8 0 26 Jan 2017
CoCoA: A General Framework for Communication-Efficient Distributed Optimization Virginia Smith Simone Forte Chenxin Ma Martin Takáč Michael I. Jordan Martin Jaggi 103 273 0 07 Nov 2016
Communication-Efficient Parallel Block Minimization for Kernel Machines Cho-Jui Hsieh Si Si Inderjit S. Dhillon 33 3 0 05 Aug 2016
A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization Shun Zheng Jialei Wang Fen Xia Wenyuan Xu Tong Zhang 142 22 0 13 Apr 2016
L1-Regularized Distributed Optimization: A Communication-Efficient Primal-Dual Framework Virginia Smith Simone Forte Michael I. Jordan Martin Jaggi 165 28 0 13 Dec 2015
Stochastic Dual Coordinate Ascent with Adaptive Probabilities Dominik Csiba Zheng Qu Peter Richtárik ODL 137 97 0 27 Feb 2015