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)

Training Effective Neural Networks on Structured Data with Federated Learning. - Anastasia Pustozerova; Andreas Rauber; Rudolf Mayer (AINA (2), 2021)

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)

Data Privacy in Smart Cities ? Federated Learning to the Rescue? - Anastasia Pustozerova; Rudolf Mayer (ERCIM News, 2021)

Differentially Private Federated Learning: Privacy and Utility Analysis of Output Perturbation and DP-SGD. - Anastasia Pustozerova; Jan Baumbach; Rudolf Mayer (IEEE Big Data, 2023)

Analysing Utility Loss in Federated Learning with Differential Privacy. - Anastasia Pustozerova; Jan Baumbach; Rudolf Mayer (TrustCom, 2023)