Efficient Distributed Learning with Sparsity

Efficient Distributed Learning with Sparsity

25 May 2016

Tong Zhang

Papers citing "Efficient Distributed Learning with Sparsity"

19 / 19 papers shown

Title
Using ARIMA to Predict the Expansion of Subscriber Data Consumption Mike Nkongolo 43 16 0 23 Apr 2024
A review of distributed statistical inference Yuan Gao Weidong Liu Hansheng Wang Xiaozhou Wang Yibo Yan Riquan Zhang 16 42 0 13 Apr 2023
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation Xiao-Tong Yuan P. Li 36 2 0 09 Jan 2023
Recovery Guarantees for Distributed-OMP Chen Amiraz Robert Krauthgamer B. Nadler 26 0 0 15 Sep 2022
Communication-efficient Distributed Newton-like Optimization with Gradients and M-estimators Ziyan Yin 32 0 0 13 Jul 2022
Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees Jue Wang Binhang Yuan Luka Rimanic Yongjun He Tri Dao Beidi Chen Christopher Ré Ce Zhang AI4CE 31 11 0 02 Jun 2022
Distributed Sparse Multicategory Discriminant Analysis Hengchao Chen Qiang Sun 22 1 0 22 Feb 2022
Distributed Sparse Regression via Penalization Yao Ji G. Scutari Ying Sun Harsha Honnappa 22 5 0 12 Nov 2021
Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach Sai Li Tianxi Cai R. Duan 28 46 0 27 Aug 2021
Federated Causal Inference in Heterogeneous Observational Data Ruoxuan Xiong Allison Koenecke Michael A. Powell Zhu Shen Joshua T. Vogelstein Susan Athey FedML CML 29 45 0 25 Jul 2021
BAGUA: Scaling up Distributed Learning with System Relaxations Shaoduo Gan Xiangru Lian Rui Wang Jianbin Chang Chengjun Liu ... Jiawei Jiang Binhang Yuan Sen Yang Ji Liu Ce Zhang 28 30 0 03 Jul 2021
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality Yang Yu Shih-Kang Chao Guang Cheng FedML 35 10 0 19 Feb 2021
Communication-Efficient Accurate Statistical Estimation Jianqing Fan Yongyi Guo Kaizheng Wang 19 110 0 12 Jun 2019
Distributed Inference for Linear Support Vector Machine Xiaozhou Wang Zhuoyi Yang Xi Chen Weidong Liu 19 64 0 29 Nov 2018
First-order Newton-type Estimator for Distributed Estimation and Inference Xi Chen Weidong Liu Yichen Zhang 32 48 0 28 Nov 2018
Quantile Regression Under Memory Constraint Xi Chen Weidong Liu Yichen Zhang 11 116 0 18 Oct 2018
Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data Jialei Wang J. Lee M. Mahdavi Mladen Kolar Nathan Srebro 21 50 0 10 Oct 2016
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 182 683 0 07 Dec 2010
High-dimensional generalized linear models and the lasso Sara van de Geer 196 749 0 04 Apr 2008