Federated Learning Workshop
The Personal Health Train Approach
The barriers to data sharing are not really technical – they are mainly political, administrative, and governance.
This workshop offers first a general plenary on the opportunities offered by Federated Learning, implemented according to the Personal Health Train governance manifesto. We will cover the administrative steps, governance principles, and administrative issues that need to be addressed, in order to be part of a successful Federated Learning consortium.
Presenter: Dr. Leonard Wee
Leonard Wee is a qualified radiation oncology medical physicist and assistant professor of Clinical Data Science (CDS) in Maastricht, The Netherlands. CDS is a pure research department jointly supported by Maastricht University, Maastricht University Medical Centre and MAASTRO (radiation oncology) clinic. Leonard specializes in utilization of real-world clinical data for training of prediction models and AI models, in a privacy-aware method called Federated Learning that does not need exchange of patient-level data between institutions.