Federated TinyML and digital twin framework for secure and resilient IoMT-based ICU monitoring
- DOI
- 10.1038/s41598-026-62561-9
- Published
- 2026-07-19
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-62561-9,
title = {Federated TinyML and digital twin framework for secure and resilient IoMT-based ICU monitoring},
author = {Umar Hayat Khan and Rahim Khan and Tahani Alsaedi and Samia Allaoua Chelloug and Fahad Alturise and Salem Alkhalaf},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-62561-9},
url = {https://doi.org/10.1038/s41598-026-62561-9}
}RIS
TY - JOUR TI - Federated TinyML and digital twin framework for secure and resilient IoMT-based ICU monitoring AU - Umar Hayat Khan AU - Rahim Khan AU - Tahani Alsaedi AU - Samia Allaoua Chelloug AU - Fahad Alturise AU - Salem Alkhalaf PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-62561-9 UR - https://doi.org/10.1038/s41598-026-62561-9 ER -
APA
Khan, U. H., Khan, R., Alsaedi, T., Chelloug, S. A., Alturise, F., & Alkhalaf, S. (2026). Federated TinyML and digital twin framework for secure and resilient IoMT-based ICU monitoring. Scientific Reports. https://doi.org/10.1038/s41598-026-62561-9
Source records
- crossref · retrieved 2026-09-25T15:28:05.859Z