Asiri, M.; Khemakhem, M.A.; Alhebshi, R.M.; Alsulami, B.S.; Eassa, F.E.
Decentralized Federated Learning for IoT Malware Detection at the Multi-Access Edge: A Two-Tier, Privacy-Preserving Design. Future Internet 2025, 17, 475.
https://doi.org/10.3390/fi17100475
AMA Style
Asiri M, Khemakhem MA, Alhebshi RM, Alsulami BS, Eassa FE.
Decentralized Federated Learning for IoT Malware Detection at the Multi-Access Edge: A Two-Tier, Privacy-Preserving Design. Future Internet. 2025; 17(10):475.
https://doi.org/10.3390/fi17100475
Chicago/Turabian Style
Asiri, Mohammed, Maher A. Khemakhem, Reemah M. Alhebshi, Bassma S. Alsulami, and Fathy E. Eassa.
2025. "Decentralized Federated Learning for IoT Malware Detection at the Multi-Access Edge: A Two-Tier, Privacy-Preserving Design" Future Internet 17, no. 10: 475.
https://doi.org/10.3390/fi17100475
APA Style
Asiri, M., Khemakhem, M. A., Alhebshi, R. M., Alsulami, B. S., & Eassa, F. E.
(2025). Decentralized Federated Learning for IoT Malware Detection at the Multi-Access Edge: A Two-Tier, Privacy-Preserving Design. Future Internet, 17(10), 475.
https://doi.org/10.3390/fi17100475