Distributed Sparse Feature Selection in Communication-Restricted Networks

2 November 2021

Papers citing "Distributed Sparse Feature Selection in Communication-Restricted Networks"

13 / 13 papers shown

Title
Distributed High-dimensional Regression Under a Quantile Loss Function Xi Chen Weidong Liu Xiaojun Mao Zhuoyi Yang 58 72 0 13 Jun 2019
BELIEF: A distance-based redundancy-proof feature selection method for Big Data S. Ramírez-Gallego S. García N. Xiong Francisco Herrera 26 11 0 16 Apr 2018
Locally Convex Sparse Learning over Networks Ahmed Zaki Saikat Chatterjee P. Mitra L. Rasmussen 36 1 0 31 Mar 2018
False Discovery Rate Control via Debiased Lasso Adel Javanmard Hamid Javadi 53 56 0 12 Mar 2018
CoCoA: A General Framework for Communication-Efficient Distributed Optimization Virginia Smith Simone Forte Chenxin Ma Martin Takáč Michael I. Jordan Martin Jaggi 68 273 0 07 Nov 2016
Efficient Distributed Learning with Sparsity Jialei Wang Mladen Kolar Nathan Srebro Tong Zhang FedML 59 152 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 380 17,437 0 17 Feb 2016
De-biasing the Lasso: Optimal Sample Size for Gaussian Designs Adel Javanmard Andrea Montanari 110 196 0 11 Aug 2015
Controlling the false discovery rate via knockoffs Rina Foygel Barber Emmanuel J. Candès 214 748 0 22 Apr 2014
On asymptotically optimal confidence regions and tests for high-dimensional models Sara van de Geer Peter Buhlmann Yaácov Ritov Ruben Dezeure 195 1,130 0 03 Mar 2013
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory Adel Javanmard Andrea Montanari 172 161 0 17 Jan 2013
On the Linear Convergence of the Alternating Direction Method of Multipliers Mingyi Hong Zhi-Quan Luo 75 720 0 20 Aug 2012
Sparse Distributed Learning Based on Diffusion Adaptation P. Lorenzo Ali H. Sayed 71 220 0 14 Jun 2012