SecuFL-IoT: an adaptive privacy-preserving federated learning framework for anomaly detection in smart industrial networks
Crossref DOI link: https://doi.org/10.1038/s41598-025-11883-1
Published Online: 2026-01-29
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Alqazzaz, Ali
Text and Data Mining valid from 2026-01-29
Version of Record valid from 2026-01-30
Article History
Received: 22 April 2025
Accepted: 14 July 2025
First Online: 29 January 2026
Declarations
:
: The authors declare no competing interests.