Osama Wehbi

According to our database, Osama Wehbi authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Towards Vox Populi in Federated Learning: A Fair and Inclusive Client Selection Framework.

Sarhad Arisdakessian, Osama Wehbi, Omar Abdel Wahab, Azzam Mourad, Hadi Otrok

IEEE Trans. Artif. Intell., April, 2026

FL-PBM: Pre-Training Backdoor Mitigation for Federated Learning.

Osama Wehbi, Sarhad Arisdakessian, Omar Abdel Wahab, Azzam Mourad, Hadi Otrok, Jamal Bentahar

CoRR, March, 2026

Mitigating Backdoor Attacks in Federated Learning Using PPA and MiniMax Game Theory.

Osama Wehbi, Sarhad Arisdakessian, Omar Abdel Wahab, Anderson R. Avila, Azzam Mourad, Hadi Otrok

CoRR, March, 2026

Designing Federated Learning Marketplaces: Incentives, Network Dynamics, and Decentralized Learning.

Sarhad Arisdakessian, Osama Wehbi, Omar Abdel Wahab, Azzam Mourad, Hadi Otrok, Mohsen Guizani

IEEE Trans. Netw. Sci. Eng., 2026

A Two-Level Dirichlet Framework for Heterogeneous Federated Network.

Sarhad Arisdakessian, Osama Wehbi, Omar Abdel Wahab, Azzam Mourad, Hadi Otrok, Mohsen Guizani

IEEE Trans. Netw. Sci. Eng., 2026

2025

Enhancing Mutual Trustworthiness in Federated Learning for Data-Rich Smart Cities.

Osama Wehbi, Sarhad Arisdakessian, Mohsen Guizani, Omar Abdel Wahab, Azzam Mourad, Hadi Otrok, Hoda Alkhzaimi, Bassem Ouni

IEEE Internet Things J., 2025

2024

The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions.

Hani Sami, Ahmad Hammoud, Mohamad Arafeh, Mohamad Wazzeh, Sarhad Arisdakessian, Mario Chahoud, Osama Wehbi, Mohamad Ajaj, Azzam Mourad, Hadi Otrok, Omar Abdel Wahab, Rabeb Mizouni, Jamal Bentahar, Chamseddine Talhi, Zbigniew Dziong, Ernesto Damiani, Mohsen Guizani

IEEE Commun. Surv. Tutorials, 2024

2023

FedMint: Intelligent Bilateral Client Selection in Federated Learning With Newcomer IoT Devices.

Osama Wehbi, Sarhad Arisdakessian, Omar Abdel Wahab, Hadi Otrok, Safa Otoum, Azzam Mourad, Mohsen Guizani

IEEE Internet Things J., 2023

Towards Mutual Trust-Based Matching For Federated Learning Client Selection.

Osama Wehbi, Omar Abdel Wahab, Azzam Mourad, Hadi Otrok, Hoda Alkhzaimi, Mohsen Guizani

Proceedings of the International Wireless Communications and Mobile Computing, 2023

2022

Towards Bilateral Client Selection in Federated Learning Using Matching Game Theory.

Osama Wehbi, Sarhad Arisdakessian, Omar Abdel Wahab, Hadi Otrok, Safa Otoum, Azzam Mourad

Proceedings of the IEEE Global Communications Conference, 2022