![Othmane Belarbi](https://profiles-cardiff.imgix.net/attachments/3454?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Mr Othmane Belarbi
Timau a rolau for Othmane Belarbi
Myfyriwr ymchwil
Cydymaith Ymchwil
Cyhoeddiad
2026
- Belarbi, O. et al. 2026. A device-level IoT network traffic dataset with distributed capture and non-IID characteristics. Data 11 (8) 207. (10.3390/data11080207)
- Spyridopoulos, T. et al. 2026. Federated Edge–HPC architectures for AI workflows in privacy-sensitive and real-time domains. Project Report.[Online].National Federated Compute Services. Available at: https://nfcs-networkplus.ac.uk/projects/federated-edge-hpc-architectures-for-ai-workflows-in-privacy-sensitive-and-real-time-domains/.
2024
- Herzog, A. et al., 2024. Selective updates and adaptive masking for communication-efficient federated learning. IEEE Transactions on Green Communications and Networking 8 (2), pp.852-864. (10.1109/TGCN.2024.3349697)
2023
- Belarbi, O. et al. 2023. Federated deep learning for intrusion detection in IoT networks. Presented at: GLOBECOM 2023 - 2023 IEEE Global Communications Conference Kuala Lumpur, Malaysia 04-08 December 2023. 2023 IEEE Global Communications Conference Proceedings. IEEE. , pp.237-242. (10.1109/GLOBECOM54140.2023.10437860)
2022
- Belarbi, O. et al. 2022. An intrusion detection system based on deep belief networks. Presented at: 4th International Conference on Science of Cyber Security - SciSec 2022 Matsue city, Shimane, Japan 10-12 August 2022. Vol. 13580.Springer. , pp.377-392. (10.1007/978-3-031-17551-0_25)
Articles
- Belarbi, O. et al. 2026. A device-level IoT network traffic dataset with distributed capture and non-IID characteristics. Data 11 (8) 207. (10.3390/data11080207)
- Herzog, A. et al., 2024. Selective updates and adaptive masking for communication-efficient federated learning. IEEE Transactions on Green Communications and Networking 8 (2), pp.852-864. (10.1109/TGCN.2024.3349697)
Conferences
- Belarbi, O. et al. 2023. Federated deep learning for intrusion detection in IoT networks. Presented at: GLOBECOM 2023 - 2023 IEEE Global Communications Conference Kuala Lumpur, Malaysia 04-08 December 2023. 2023 IEEE Global Communications Conference Proceedings. IEEE. , pp.237-242. (10.1109/GLOBECOM54140.2023.10437860)
- Belarbi, O. et al. 2022. An intrusion detection system based on deep belief networks. Presented at: 4th International Conference on Science of Cyber Security - SciSec 2022 Matsue city, Shimane, Japan 10-12 August 2022. Vol. 13580.Springer. , pp.377-392. (10.1007/978-3-031-17551-0_25)
Monographs
- Spyridopoulos, T. et al. 2026. Federated Edge–HPC architectures for AI workflows in privacy-sensitive and real-time domains. Project Report.[Online].National Federated Compute Services. Available at: https://nfcs-networkplus.ac.uk/projects/federated-edge-hpc-architectures-for-ai-workflows-in-privacy-sensitive-and-real-time-domains/.