FedLC-Trans: privacy-preserving CNN-Transformer fusion for resilient IoMT intrusion detection.

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Title: FedLC-Trans: privacy-preserving CNN-Transformer fusion for resilient IoMT intrusion detection.
Authors: Gong Z; School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China.; Key Laboratory of Data and Model Security of Hunan Province for Higher Education Institutions (Hunan University of Information Technology), Changsha, China., Xiong N; School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China.; Department of Computer Science, Southern New Hampshire University, Manchester, NH, United States., Zhao C; School of Computer Science and Engineering, Hunan University of Information Technology, Changsha, China., Chen J; School of Computer Science and Engineering, Hunan University of Information Technology, Changsha, China., Ammar O; School of Information Science and Engineering, Shaoyang University, Shaoyang, Hunan, China., Shaikh JA; School of Computer Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China., Alkanhel RI; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia., Al-Bahri M; Faculty of Computing and IT, Sohar University, Sohar, Oman., Muthanna M; Faculty of Computing and IT, Sohar University, Sohar, Oman.
Source: Frontiers in public health [Front Public Health] 2026 Sep 25; Vol. 14, pp. 1924540. Date of Electronic Publication: 2026 Sep 25 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Gong+Z%22">Gong Z</searchLink>; School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China.; Key Laboratory of Data and Model Security of Hunan Province for Higher Education Institutions (Hunan University of Information Technology), Changsha, China.<br /><searchLink fieldCode="AU" term="%22Xiong+N%22">Xiong N</searchLink>; School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China.; Department of Computer Science, Southern New Hampshire University, Manchester, NH, United States.<br /><searchLink fieldCode="AU" term="%22Zhao+C%22">Zhao C</searchLink>; School of Computer Science and Engineering, Hunan University of Information Technology, Changsha, China.<br /><searchLink fieldCode="AU" term="%22Chen+J%22">Chen J</searchLink>; School of Computer Science and Engineering, Hunan University of Information Technology, Changsha, China.<br /><searchLink fieldCode="AU" term="%22Ammar+O%22">Ammar O</searchLink>; School of Information Science and Engineering, Shaoyang University, Shaoyang, Hunan, China.<br /><searchLink fieldCode="AU" term="%22Shaikh+JA%22">Shaikh JA</searchLink>; School of Computer Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Alkanhel+RI%22">Alkanhel RI</searchLink>; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Al-Bahri+M%22">Al-Bahri M</searchLink>; Faculty of Computing and IT, Sohar University, Sohar, Oman.<br /><searchLink fieldCode="AU" term="%22Muthanna+M%22">Muthanna M</searchLink>; Faculty of Computing and IT, Sohar University, Sohar, Oman.
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        Value: 10.3389/fpubh.2026.1924540
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              Text: 2026 Sep 25
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