Disputation von Julian Späth am 27.09.2024, 13:00 Uhr

27. September 2024, von Reinhard Zierke

Einladung zur hochschulöffentlichen Disputation im Rahmen des Promotionsverfahrens von Julian Späth

Titel der Dissertation: Privacy-aware Federated Learning for Accelerating Biomedical and Clinical Time-to-Event Analysis

Biomedical and clinical data analysis, such as time-to-event analysis, has traditionally required centralized data collection, leading to privacy challenges when analyzing sensitive patient data across institutions. With Federated Learning, recently a solution emerged, allowing machine learning on distributed datasets without sharing raw data. In this dissertation, we developed several tools to enable the application of federated and privacy-aware time-to-event analysis across institutions.
The presentation will be given in English.

Datum und Uhrzeit: Freitag, 27. September 2024 um 13:00 Uhr
Ort: Albert-Einstein-Ring 8-10, Raum 0005
Betreuer: Prof. Dr. Jan Baumbach

Prof. Dr. Matthias Rarey
Vorsitzender des Fachpromotionsausschusses Informatik