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Byzantine-robust and efficient distributed sparsity learning: a surrogate composite quantile regression approach

Published Online: 2024-07-22

Published Print: 2024-10

Authors

Chen, Canyi

Zhu, Zhengtian
Funding

Funding for this research was provided by:

Postdoctoral Fellowship Program of CPSF (GZC20232914)
License Information

Text and Data Mining valid from 2024-07-22

Version of Record valid from 2024-07-22
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Article History

Received: 21 February 2024

Accepted: 15 July 2024

First Online: 22 July 2024

Declarations

:

: The authors declare no Conflict of interest.

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