Biography
Hassan Salman is currently a Postdoctoral Researcher in the ICI team at the ETIS Laboratory (UMR 8051), affiliated with CY Cergy Paris Université, ENSEA, and CNRS, France. He received his Ph.D. degree in Information and Communication Sciences and Technologies from Sorbonne Université, Paris, France, in April 2026, and his Master of Engineering degree in Artificial Intelligence in 2021.
His research interests include federated learning, machine learning, deep learning, and knowledge distillation. His current research focuses on AI-driven security solutions for 6G wireless networks, combining machine learning, integrated sensing and communication, and physical layer security.
Research activities
Federated learning, distributed learning, and knowledge distillation
Privacy-preserving machine learning, deep learning, and attention mechanisms
Machine learning for communications and AI-driven 6G wireless security
Integrated sensing and communication, physical layer security, and intelligent authentication
- A New Communication Efficient Federated Online Distillation for Non-IID Data: Application to Fetal Brain Ultrasound Plane Classification
- FedAK: a semi-supervised one-shot framework for heterogeneous federated learning via feature-level attention-based knowledge distillation
- Improvement of Federated Learning Models for E-health