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

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
ArXivPDFHTML

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
38
27
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
R. Tibshirani
21
42
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
34
46
0
23 Dec 2014
1