Omar Abdel Wahab

Federated Machine Learning: Survey, Multi-Level Classification, Desirable Criteria and Future Directions in Communication and Networking Systems

Omar Abdel Wahab, Azzam Mourad, Hadi Otrok et al. · IEEE Communications Surveys & Tutorials · 2021 · 476 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +23

VANET QoS-OLSR: QoS-based clustering protocol for Vehicular Ad hoc Networks

Omar Abdel Wahab, Hadi Otrok, Azzam Mourad · Computer Communications · 2013 · 177 citations

Internet Of Vehicle, Vehicle Communication, Qos-based Clustering Protocol +3

A Survey on IoT Intrusion Detection: Federated Learning, Game Theory, Social Psychology, and Explainable AI as Future Directions

Sarhad Arisdakessian, Omar Abdel Wahab, Azzam Mourad et al. · IEEE Internet of Things Journal · 2022 · 174 citations

Deep and reinforcement learning for automated task scheduling in large‐scale cloud computing systems

Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab et al. · Concurrency and Computation Practice and Experience · 2020 · 149 citations

Artificial Intelligence, Engineering, Big Data Analytics +18

Deep learning-enabled anomaly detection for IoT systems

Adel Abusitta, Glaucio H.S. de Carvalho, Omar Abdel Wahab et al. · Internet of Things · 2022 · 147 citations

Iot Data Analytics, Anomaly Detection, Machine Learning +6