FedDeepRiskNet-Audit: Privacy and attack-aware federated learning for clinical time series analysis.
- DOI
- 10.1177/09287329261506175
- Published
- 2026 Nov 10
- Container
- Technology and health care : official journal of the European Society for Engineering and Medicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1177/09287329261506175,
title = {FedDeepRiskNet-Audit: Privacy and attack-aware federated learning for clinical time series analysis.},
author = {Hassan ES and Mostafa N and Alharbi AA},
year = {2026},
journal = {Technology and health care : official journal of the European Society for Engineering and Medicine},
doi = {10.1177/09287329261506175},
url = {https://doi.org/10.1177/09287329261506175}
}RIS
TY - JOUR TI - FedDeepRiskNet-Audit: Privacy and attack-aware federated learning for clinical time series analysis. AU - Hassan ES AU - Mostafa N AU - Alharbi AA PY - 2026 JO - Technology and health care : official journal of the European Society for Engineering and Medicine DO - 10.1177/09287329261506175 UR - https://doi.org/10.1177/09287329261506175 ER -
APA
ES, H., N, M., & AA, A. (2026). FedDeepRiskNet-Audit: Privacy and attack-aware federated learning for clinical time series analysis.. Technology and health care : official journal of the European Society for Engineering and Medicine. https://doi.org/10.1177/09287329261506175
Source records
- pubmed · retrieved 2026-11-10T18:11:26.787Z