Jan Ramon is a senior researcher in the domain of computer science. His current main interests are in the domain of secure, privacy-preserving federated machine learning. This includes research challenges on topics such as statistical privacy, multi-party computation and other PET strategies, as well as the implications of these techniques for various stakeholders. Jan Ramon is the scientific coordinator of the HE FLUTE project on federated learning on health data.
Elementy, w których Dr Jan Ramon uczestniczy
piątek 16 maj, 2025
This session will explore cutting-edge approaches to responsibly sharing personal data for AI development. Topics include federated learning, synthetic data generation, and Privacy Enhancing Technologies (PETs), focusing on how these methods support data privacy, facilitate cross-border collaboration, and help meet regulatory requirements in healthcare research, and other sensitive sectors. The session will include practical insights from the specialists in PET domain, based on their experien...