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Advancements in securing federated learning with IDS: a comprehensive review of neural networks and feature engineering techniques for malicious client detection

Crossref DOI link: https://doi.org/10.1007/s10462-024-11082-w

Published Online: 2025-01-13

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

Authors

Latif, Naila

Ma, Wenping

Ahmad, Hafiz Bilal
Funding

Funding for this research was provided by:

Supported by the Key Industry Innovation Chain Project of Shaanxi Provincial Science and the Technology Department, China (2022ZDLGY03-08, 2022ZDLGY03-08, 2022ZDLGY03-08)
License Information

Text and Data Mining valid from 2025-01-13

Version of Record valid from 2025-01-13
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Article History

Accepted: 22 December 2024

First Online: 13 January 2025

Declarations

:

: The authors declare no Conflict of interest.

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