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Communication-efficient distributed robust variable selection for heterogeneous massive data

delete2025-10-01
delete0
PRE
AI
H
Hang Zou
Y
Yunlu Jiang *
DOI：10.1016/j.spl.2025.110557delete
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摘要

摘要

En 中文
我们提出了一种使用折减指数回归的通信高效分布式鲁棒变量选择方法，用于处理大规模数据。所提出方法的理论性质得到了验证。模拟研究和在烟气排放数据中的应用说明了我们方法的有效性。
Keyword:
Massive data
Communication-efficient
Discounted exponentile regression
Robustness
Heterogeneous

期刊

S
STATISTICS & PROBABILITY LETTERS
IF:
0.7
论文数:
127
被引数:
0

机构

G
Guangdong University of Foreign Studies
学者数:
1.3K
论文数: 1.4K
被引数: 1.5K
J
jinan university
学者数:
4.3W
论文数: 2.7W
被引数: 38
引用论文

引用论文

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