ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1504.02147
  4. Cited By
Unwrapping ADMM: Efficient Distributed Computing via Transpose Reduction

Unwrapping ADMM: Efficient Distributed Computing via Transpose Reduction

International Conference on Artificial Intelligence and Statistics (AISTATS), 2015
8 April 2015
Tom Goldstein
Gavin Taylor
Kawika Barabin
K. Sayre
ArXiv (abs)PDFHTML

Papers citing "Unwrapping ADMM: Efficient Distributed Computing via Transpose Reduction"

5 / 5 papers shown
Distributed Learning over Unreliable Networks
Distributed Learning over Unreliable Networks
Chen Yu
Hanlin Tang
Cédric Renggli
S. Kassing
Ankit Singla
Dan Alistarh
Ce Zhang
Ji Liu
OOD
344
65
0
17 Oct 2018
Adaptive Consensus ADMM for Distributed Optimization
Adaptive Consensus ADMM for Distributed OptimizationInternational Conference on Machine Learning (ICML), 2017
Zheng Xu
Gavin Taylor
Hao Li
Mário A. T. Figueiredo
Xiaoming Yuan
Tom Goldstein
217
70
0
09 Jun 2017
Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation
Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation
Zheng Xu
Mário A. T. Figueiredo
Xiaoming Yuan
Christoph Studer
Tom Goldstein
203
47
0
10 Apr 2017
An Empirical Study of ADMM for Nonconvex Problems
An Empirical Study of ADMM for Nonconvex Problems
Zheng Xu
Soham De
Mário A. T. Figueiredo
Christoph Studer
Tom Goldstein
185
35
0
10 Dec 2016
Training Neural Networks Without Gradients: A Scalable ADMM Approach
Training Neural Networks Without Gradients: A Scalable ADMM Approach
Gavin Taylor
R. Burmeister
Zheng Xu
Bharat Singh
Ankit B. Patel
Tom Goldstein
ODL
321
290
0
06 May 2016
1
Page 1 of 1