TrustFed-RHIO: an optimization-driven differential privacy federated learning framework for secure and explainable IIoT attack detection.
- DOI
- 10.1038/s41598-026-45277-8
- Published
- 2026 May 4
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-45277-8,
title = {TrustFed-RHIO: an optimization-driven differential privacy federated learning framework for secure and explainable IIoT attack detection.},
author = {Joseph L and Prabha B and Sambath M},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-45277-8},
url = {https://doi.org/10.1038/s41598-026-45277-8}
}RIS
TY - JOUR TI - TrustFed-RHIO: an optimization-driven differential privacy federated learning framework for secure and explainable IIoT attack detection. AU - Joseph L AU - Prabha B AU - Sambath M PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-45277-8 UR - https://doi.org/10.1038/s41598-026-45277-8 ER -
APA
L, J., B, P., & M, S. (2026). TrustFed-RHIO: an optimization-driven differential privacy federated learning framework for secure and explainable IIoT attack detection.. Scientific reports. https://doi.org/10.1038/s41598-026-45277-8
Source records
- pubmed · retrieved 2026-09-26T11:17:27.982Z