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Federated Sufficient Dimension Reduction Through High-Dimensional Sparse
  Sliced Inverse Regression

Federated Sufficient Dimension Reduction Through High-Dimensional Sparse Sliced Inverse Regression

23 January 2023
Wenquan Cui
Yue Zhao
Jianjun Xu
Haoyang Cheng
    FedML
ArXivPDFHTML

Papers citing "Federated Sufficient Dimension Reduction Through High-Dimensional Sparse Sliced Inverse Regression"

5 / 5 papers shown
Title
Federated Accelerated Stochastic Gradient Descent
Federated Accelerated Stochastic Gradient Descent
Honglin Yuan
Tengyu Ma
FedML
59
180
0
16 Jun 2020
The Non-IID Data Quagmire of Decentralized Machine Learning
The Non-IID Data Quagmire of Decentralized Machine Learning
Kevin Hsieh
Amar Phanishayee
O. Mutlu
Phillip B. Gibbons
135
566
0
01 Oct 2019
LEAF: A Benchmark for Federated Settings
LEAF: A Benchmark for Federated Settings
S. Caldas
Sai Meher Karthik Duddu
Peter Wu
Tian Li
Jakub Konecný
H. B. McMahan
Virginia Smith
Ameet Talwalkar
FedML
134
1,417
0
03 Dec 2018
Sparse Sliced Inverse Regression Via Lasso
Sparse Sliced Inverse Regression Via Lasso
Q. Lin
Zhigen Zhao
Jun S. Liu
87
82
0
21 Nov 2016
High-dimensional covariance estimation by minimizing $\ell_1$-penalized
  log-determinant divergence
High-dimensional covariance estimation by minimizing ℓ1\ell_1ℓ1​-penalized log-determinant divergence
Pradeep Ravikumar
Martin J. Wainwright
Garvesh Raskutti
Bin Yu
229
874
0
21 Nov 2008
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