2 papers
cs.LG2026
FAIRVAR: Fair Federated Learning via Variance Regularization
Zahra Kharaghani, Ali Dadras, Tommy Löfstedt
Federated learning (FL) allows collaborative training of machine learning models across multiple parties without sharing raw data. However, heterogeneous data can cause some client…
physics.med-ph2025
A physics-informed, plug-and-play dose engine for gradient-based radiotherapy treatment planning
Attila Simkó, Matthias Kronsteiner, Simon Glatzer +11
Radiotherapy treatment planning remains a time-intensive iterative process requiring expert intervention in commercial treatment planning system (TPS). While machine learning appro…