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On Faster Convergence of Cyclic Block Coordinate Descent-type Methods
  for Strongly Convex Minimization
v1v2v3 (latest)

On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization

10 July 2016
Xingguo Li
T. Zhao
R. Arora
Han Liu
Mingyi Hong
ArXiv (abs)PDFHTML

Papers citing "On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization"

3 / 3 papers shown
Title
Privacy-Preserving Asynchronous Federated Learning Algorithms for
  Multi-Party Vertically Collaborative Learning
Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning
Bin Gu
An Xu
Zhouyuan Huo
Cheng Deng
Heng-Chiao Huang
FedML
99
30
0
14 Aug 2020
Dykstra's Algorithm, ADMM, and Coordinate Descent: Connections,
  Insights, and Extensions
Dykstra's Algorithm, ADMM, and Coordinate Descent: Connections, Insights, and Extensions
Robert Tibshirani
111
43
0
12 May 2017
Pathwise Coordinate Optimization for Sparse Learning: Algorithm and
  Theory
Pathwise Coordinate Optimization for Sparse Learning: Algorithm and Theory
T. Zhao
Han Liu
Tong Zhang
232
46
0
23 Dec 2014
1