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Large-scale machine learning with synchronous parallel adaptive stochastic variance reduction gradient descent for high-dimensional blindness detection on spark

Crossref DOI link: https://doi.org/10.1007/s11227-025-07046-8

Published Online: 2025-03-09

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Qin, Chuandong

Zhang, Yiqing

Cao, Yu
Funding

Funding for this research was provided by:

Projects of Universities in Ningxia (NYG2024093, NYG2024093, NYG2024093)

Innovation Project for Postgraduate Students of North Minzu University (YCX24094)
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Text and Data Mining valid from 2025-03-09

Version of Record valid from 2025-03-09
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Article History

Accepted: 11 February 2025

First Online: 9 March 2025

Declarations

:

: We declare that we have no financial and personal relationships with other people or organizations that can inappropriately influence our work, there is no professional or other personal interest of any nature or kind in any product, service and/or company that could be construed as influencing the position presented in, or the review of, the manuscript entitled “Large-scale Machine Learning with Synchronous Parallel Adaptive Stochastic Variance Reduction Gradient Descent for High-dimensional Blindness Detection on Spark”.

: This is an observational study. No ethical approval is required.

: Informed consent was obtained from all individual participants included in the study.

: Additional informed consent was obtained from all individual participants for whom identifying information is included in this article.

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