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Communication-efficient distributed composite quantile regression via convolution smoothing and poisson subsampling

Published Online: 2026-01-21

Published Print: 2026-02

Authors

Jin, Jun

Liang, Qinghan
Funding

Funding for this research was provided by:

Postdoctoral Research Foundation of China (2024M752706)

Natural Science Research of Jiangsu Higher Education Institutions of China (24KJB110030)

Major Project of Philosophy and Social Science Research in Colleges and Universities of Jiangsu Province (2024SJYB1531)
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Text and Data Mining valid from 2026-01-21

Version of Record valid from 2026-01-21
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Article History

Received: 5 October 2025

Revised: 26 November 2025

First Online: 21 January 2026

Document is current