Privacy-preserving Artificial Intelligence Techniques in Biomedicine. - Reihaneh Torkzadehmahani; Reza Nasirigerdeh; David B. Blumenthal; Tim Kacprowski; Markus List; Julian O. Matschinske; Julian Späth; Nina Kerstin Wenke; Béla Bihari; Tobias Frisch; Anne Hartebrodt; Anne-Christin Hauschild; et al. (CoRR, 2020)

The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond. - Julian O. Matschinske; Julian Späth; Reza Nasirigerdeh; Reihaneh Torkzadehmahani; Anne Hartebrodt; Balázs Orbán; Sándor Fejér; Olga I. Zolotareva; Mohammad Bakhtiari; Béla Bihari; Marcus D. Bloice; Nina C. Donner; et al. (CoRR, 2021)

Federated Random Forests can improve local performance of predictive models for various healthcare applications. - Anne-Christin Hauschild; Marta Lemanczyk; Julian O. Matschinske; Tobias Frisch; Olga I. Zolotareva; Andreas Holzinger; Jan Baumbach; Dominik Heider (Bioinform., 2022)

Privacy-Preserving Multi-Center Differential Protein Abundance Analysis with FedProt. - Yuliya Burankova; Miriam Abele; Mohammad Bakhtiari; Christine von Törne; Teresa Barth; Lisa Schweizer; Pieter Giesbertz; Johannes R. Schmidt; Stefan Kalkhof; Janina Müller-Deile; Peter A. van Veelen; Yassene Mohammed; et al. (CoRR, 2024)