Documents publiés en "2024"

Département de génie informatique et génie logiciel

Arisdakessian, S., Abdul Wahab, O., Wehbi, O., Mourad, A., & Otrok, H. (juillet 2024). Trustworthy Hierarchical Federated Learning for Digital Healthcare [Communication écrite]. IEEE Annual Congress on Artificial Intelligence of Things (AIoT 2024), Melbourne, Australia. Lien externe

Arisdakessian, S., Abdul Wahab, O., Wehbi, O., Mourad, A., & Otrok, H. (septembre 2024). Detecting Free-Riders in Federated Learning Using an Ensemble of Similarity Distance Metrics [Communication écrite]. 4th Intelligent Cybersecurity Conference (ICSC 2024), Valencia, Spain. Lien externe

Sami, H., Hammoud, A., Arafeh, M., Wazzeh, M., Arisdakessian, S., Chahoud, M., Wehbi, O., Ajaj, M., Mourad, A., Otrok, H., Abdul Wahab, O., 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). Lien externe

Wehbi, O., Arisdakessian, S., Guizani, M., Abdul Wahab, O., 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, 12(3), 3105 -3117. Lien externe