| A survey on federated learning: The journey from centralized to distributed on-site learning and beyond S AbdulRahman, H Tout, H Ould-Slimane, A Mourad, C Talhi, M Guizani IEEE Internet of Things Journal 8 (7), 5476-5497, 2020 | 717 | 2020 |
| Internet of things intrusion detection: Centralized, on-device, or federated learning? SA Rahman, H Tout, C Talhi, A Mourad IEEE network 34 (6), 310-317, 2020 | 361 | 2020 |
| FedMCCS: Multicriteria client selection model for optimal IoT federated learning S AbdulRahman, H Tout, A Mourad, C Talhi IEEE Internet of Things Journal 8 (6), 4723-4735, 2020 | 289 | 2020 |
| A novel on-demand vehicular sensing framework for traffic condition monitoring SA Rahman, A Mourad, M El Barachi, W Al Orabi Vehicular Communications 12, 165-178, 2018 | 38 | 2018 |
| An infrastructure-assisted crowdsensing approach for on-demand traffic condition estimation SA Rahman, A Mourad, M El Barachi IEEE Access 7, 163323-163340, 2019 | 25 | 2019 |
| Towards on demand road condition monitoring using mobile phone sensing as a service WAR AlOrabi, SA Rahman, M El Barachi, A Mourad Procedia computer science 83, 345-352, 2016 | 24 | 2016 |
| Management of digital twin-driven IoT using federated learning S AbdulRahman, S Otoum, O Bouachir, A Mourad IEEE Journal on Selected Areas in Communications 41 (11), 3636-3649, 2023 | 21 | 2023 |
| Adaptive upgrade of client resources for improving the quality of federated learning model S AbdulRahman, H Ould-Slimane, R Chowdhury, A Mourad, C Talhi, ... IEEE Internet of Things Journal 10 (5), 4677-4687, 2022 | 19 | 2022 |
| CRAS-FL: Clustered resource-aware scheme for federated learning in vehicular networks S AbdulRahman, O Bouachir, S Otoum, A Mourad Vehicular Communications, 100769, 2024 | 3 | 2024 |
| Overcoming resource bottlenecks in vehicular federated learning: a cluster-based and qos-aware approach S AbdulRahman, O Bouachir, S Otoum, A Mourad GLOBECOM 2023-2023 IEEE Global Communications Conference, 419-424, 2023 | 3 | 2023 |
| Towards boosting federated learning convergence: a computation offloading & clustering approach S AbdulRahman, O Bouachir, S Otoum, A Mourad ICC 2023-IEEE International Conference on Communications, 106-111, 2023 | 2 | 2023 |
| Adaptive client selection and upgrade of resources for robust federated learning S Abdul Rahman École de technologie supérieure, 2022 | 1 | 2022 |
| Nanosensors for traffic condition monitoring M El Barachi, SA Rahman, A Mourad, W Al Orabi Nanosensors for Smart Cities, 187-208, 2020 | 1 | 2020 |
| Federated learning on the go: Building stable clusters and optimizing resources on the road S AbdulRahman, S Otoum, O Bouachir Vehicular Communications 51, 100870, 2025 | | 2025 |
| LICA-CS: Efficient Lossless Image Compression Algorithm via Column Subtraction Model M Al Qerom, M Otair, F Meziane, S AbdulRahman, M Alzubi Journal of Robotics and Control (JRC) 5 (5), 1311-1321, 2024 | | 2024 |
| From On-Board Data to Network Knowledge: A Group-Based Federated Learning Approach for Vehicular Networks S AbdulRahman, F Albalas Finance and Law in the Metaverse World, 631-640, 2024 | | 2024 |
| 2023 Index IEEE Internet of Things Journal Vol. 10 MZ Abbas, QH Abbasi, SF Abbasi, AS Abdalla, M Abdallah, A Abdalrazik, ... IEEE Internet of Things Journal 10 (24), 2023 | | 2023 |
| Generating a machine learning model T Hanine, SA Rahman, M Nahum, S Soueidan, C Talhi, A Mourad US Patent App. 18/041,832, 2023 | | 2023 |
