Towards Bilateral Client Selection in Federated Learning Using Matching Game Theory. - Osama Wehbi; Sarhad Arisdakessian; Omar Abdel Wahab 001; Hadi Otrok; Safa Otoum; Azzam Mourad (GLOBECOM, 2022)

Towards Mutual Trust-Based Matching For Federated Learning Client Selection. - Osama Wehbi; Omar Abdel Wahab 001; Azzam Mourad; Hadi Otrok; Hoda Alkhzaimi; Mohsen Guizani (IWCMC, 2023)

FedMint: Intelligent Bilateral Client Selection in Federated Learning With Newcomer IoT Devices. - Osama Wehbi; Sarhad Arisdakessian; Omar Abdel Wahab 001; Hadi Otrok; Safa Otoum; Azzam Mourad; Mohsen Guizani (IEEE Internet Things J., 2023)

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 001; Rabeb Mizouni; et al. (IEEE Commun. Surv. Tutorials, 2024)

Enhancing Mutual Trustworthiness in Federated Learning for Data-Rich Smart Cities. - Osama Wehbi; Sarhad Arisdakessian; Mohsen Guizani; Omar Abdel Wahab 001; Azzam Mourad; Hadi Otrok; Hoda Alkhzaimi; Bassem Ouni (IEEE Internet Things J., 2025)