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SecuFL-IoT: an adaptive privacy-preserving federated learning framework for anomaly detection in smart industrial networks

Published Online: 2026-01-29

Authors

Alqazzaz, Ali
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Text and Data Mining valid from 2026-01-29

Version of Record valid from 2026-01-30
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Article History

Received: 22 April 2025

Accepted: 14 July 2025

First Online: 29 January 2026

Change Date: 29 April 2026

Change Type: Update

Change Details: The original online version of this Article was revised: In this article the statement in the Acknowledgement section was incorrect and should have read, “The authors are thankful to the Deanship of Graduate Studies and Scientific Research at the University of Bisha for supporting this work through the Fast-Track Research Support Program." The original article has been corrected.

Declarations

:

: The authors declare no competing interests.

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