FedLC-Trans: privacy-preserving CNN–Transformer fusion for resilient IoMT intrusion detection
- DOI
- 10.3389/fpubh.2026.1924540
- Published
- 2026-09-25
- Container
- Frontiers in Public Health
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fpubh.2026.1924540,
title = {FedLC-Trans: privacy-preserving CNN–Transformer fusion for resilient IoMT intrusion detection},
author = {Zhi Gong and Naixue Xiong and Chenglin Zhao and Jiao Chen and Oad Ammar and Jamshed Ali Shaikh and Reem Ibrahim Alkanhel and Mahmood Al-Bahri and Mohammed Muthanna},
year = {2026},
journal = {Frontiers in Public Health},
doi = {10.3389/fpubh.2026.1924540},
url = {https://doi.org/10.3389/fpubh.2026.1924540}
}RIS
TY - JOUR TI - FedLC-Trans: privacy-preserving CNN–Transformer fusion for resilient IoMT intrusion detection AU - Zhi Gong AU - Naixue Xiong AU - Chenglin Zhao AU - Jiao Chen AU - Oad Ammar AU - Jamshed Ali Shaikh AU - Reem Ibrahim Alkanhel AU - Mahmood Al-Bahri AU - Mohammed Muthanna PY - 2026 JO - Frontiers in Public Health DO - 10.3389/fpubh.2026.1924540 UR - https://doi.org/10.3389/fpubh.2026.1924540 ER -
APA
Gong, Z., Xiong, N., Zhao, C., Chen, J., Ammar, O., Shaikh, J. A., Alkanhel, R. I., Al-Bahri, M., & Muthanna, M. (2026). FedLC-Trans: privacy-preserving CNN–Transformer fusion for resilient IoMT intrusion detection. Frontiers in Public Health. https://doi.org/10.3389/fpubh.2026.1924540
Source records
- crossref · retrieved 2026-11-09T19:33:57.135Z