Publications

Conferences

1- Ahmad Dabaja, Rachid El-Azouzi, FedPLT: Scalable, Resource-Efficient, and Heterogeneity-Aware Federated Learning via Partial Layer Training", PIMRC'25 Mobile and Wireless Networks, 2025.




2- Zejun Gong, Haoran Gong, Zhang, Marie Siew, Joe-Wong, Rachid El-Azouzi, "Group-based Client Sampling in Multi-Model Federated Learning", The 2025 IEEE 101st Vehicular Technology Conference, 2025




3- Hibatallah Kabbaj, Rachid El-Azouzi, Abdellatif Kobbane, Robust Federated Learning via Weighted Median, Aggregation, The 2nd International Conference on Federated Learning Technologies and Applications (FLTA), 2024




4- Haoran Zhang, Zekai Li, Zejun Gong, Marie Siew, Carlee Joe-Wong, Rachid El-Azouzi, "Optimal Variance-Reduced Client Sampling for Multiple Model Federated Learning", 44th IEEE International Conference on Distributed Computing Systems (ICDCS24), 2024




5- Julianna Devillers, Olivier Brun and Balakrishna J. Prabhu, Data Summarization for Federated Learning, 6th International Conference on Machine Learning for Networking (MLN 2023), November 28-30, 2023






Submitted




1- Haoran Zhang, Zekai Li, Zejun Gong, Marie Siew, Carlee Joe-Wong, Rachid El-Azouzi, Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning, arXiv preprint arXiv:2504.05138, 2025




2- Hibatallah Kabbaj, Rachid El-Azouzi, Abdellatif Kobbane, ClusFed: A Clustering-Based Defense for Secure Federated Learning, Submitted to IEEE Access, 2025.