Efficient Distributed Learning for Large-Scale Expectile Regression With Sparsity

Efficient Distributed Learning for Large-Scale Expectile Regression With Sparsity

High-dimensional datasets often display heterogeneity due to heteroskedasticity or other forms of non-location-scale covariance effects. When the size of datasets becomes very large, it may be infeasible to store all of the high-dimensional datasets on one machine, or at least to keep the datasets i...

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Bibliographic Details
Main Authors: Yingli Pan, Zhan Liu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Expectile regression
SCAD
adaptive LASSO
communication-efficient
distributed learning
Online Access:https://ieeexplore.ieee.org/document/9416468/

Internet

https://ieeexplore.ieee.org/document/9416468/

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