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Arisdakessian, S., Wehbi, O., Abdul Wahab, O., Mourad, A., Otrok, H., & Guizani, M. (2026). Designing Federated Learning Marketplaces: Incentives, Network Dynamics, and Decentralized Learning. IEEE Transactions on Network Science and Engineering, 18 pages. External link
Arisdakessian, S. (2025). Game-Theoretic Client Selection Mechanisms for Fairness, Incentives, and Security in Federated Learning with Non-IID Data [Ph.D. thesis, Polytechnique Montréal]. Available
Arisdakessian, S., Wehbi, O., Abdul Wahab, O., Mourad, A., & Otrok, H. (2025). Towards Vox Populi in Federated Learning: A Fair and Inclusive Client Selection Framework. IEEE Transactions on Artificial Intelligence, 1, 1-15. External link
Arisdakessian, S., Abdul Wahab, O., Wehbi, O., Mourad, A., & Otrok, H. (2025, July). Improving Class-Level Fairness Under Non-IID Data Distributions in Federated Learning [Paper]. 45th International Conference on Distributed Computing Systems Workshops (ICDCSW 2025), Glasgow, United Kingdom. External link
Arisdakessian, S., Wehbi, O., Abdul Wahab, O., Mourad, A., Otrok, H., & Guizani, M. (2025). A Two-Level Dirichlet Framework for Heterogeneous Federated Network. IEEE Transactions on Network Science and Engineering. External link
Arisdakessian, S., Abdul Wahab, O., Wehbi, O., Mourad, A., & Otrok, H. (2024, September). Detecting Free-Riders in Federated Learning Using an Ensemble of Similarity Distance Metrics [Paper]. 4th Intelligent Cybersecurity Conference (ICSC 2024), Valencia, Spain. External link
Arisdakessian, S., Wahab, O. A., Wehbi, O., Mourad, A., & Otrok, H. (2024, July). Trustworthy Hierarchical Federated Learning for Digital Healthcare [Paper]. IEEE Annual Congress on Artificial Intelligence of Things (AIoT 2024), Melbourne, Australia. External link
Arisdakessian, S., Abdul Wahab, O., Mourad, A., & Otrok, H. (2023). Coalitional Federated Learning: Improving Communication and Training on Non-IID Data with Selfish Clients. IEEE Transactions on Services Computing, 16(4), 2462-2476. External link
Arisdakessian, S., Abdul Wahab, O., Mourad, A., & Otrok, H. (2023, February). Towards Instant Clustering Approach for Federated Learning Client Selection [Paper]. International Conference on Computing, Networking and Communications (ICNC 2023), Honolulu, HI, USA. External link
Arisdakessian, S., Abdul Wahab, O., Mourad, A., Otrok, H., & Kara, N. (2020). FoGMatch: An intelligent multi-criteria IoT-fog scheduling approach using game theory. IEEE/ACM Transactions on Networking, 28(4), 1779-1789. External link
Farhat, P., Arisdakessian, S., Abdul Wahab, O., Mourad, A., & Ould-Slimane, H. (2022, May). Machine learning based container placement in on-demand clustered fogs [Paper]. International Wireless Communications and Mobile Computing (IWCMC 2022), Dubrovnik, Croatia. External link
Sami, H., Hammoud, A., Arafeh, M., Wazzeh, M., Arisdakessian, S., Chahoud, M., Wehbi, O., Ajaj, M., Mourad, A., Otrok, H., Wahab, O. A., Mizouni, R., Bentahar, J., Talhi, C., Dziong, Z., Damiani, E., & Guizani, M. (2024). The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions. IEEE Communications Surveys and Tutorials, 3392642 (49 pages). External link
Wehbi, O., Arisdakessian, S., Guizani, M., Wahab, O. A., Mourad, A., Otrok, H., Khzaimi, H. A., & Ouni, B. (2024). Enhancing Mutual Trustworthiness in Federated Learning for Data-Rich Smart Cities. IEEE Internet of Things Journal, 1-1. External link
Wehbi, O., Arisdakessian, S., Abdul Wahab, O., Otrok, H., Otoum, S., Mourad, A., & Guizani, M. (2023). FedMint: Intelligent Bilateral Client Selection in Federated Learning with Newcomer IoT Devices. IEEE Internet of Things Journal, 15 pages. External link
Wehbi, O., Arisdakessian, S., Abdul Wahab, O., Otrok, H., Otoum, S., & Mourad, A. (2022, December). Towards Bilateral Client Selection in Federated Learning Using Matching Game Theory [Paper]. IEEE Global Communications Conference (GLOBECOM 2022), Rio de Janeiro, Brazil. External link
