| Privacy-preserving artificial intelligence techniques in biomedicine R Torkzadehmahani, R Nasirigerdeh, DB Blumenthal, T Kacprowski, ... Methods of information in medicine 61 (S 01), e12-e27, 2022 | 49 | 2022 |
| Information leaks in federated learning A Pustozerova, R Mayer Workshop on Decentralized IoT Systems and Security (DISS), 2020 | 43 | 2020 |
| The FeatureCloud platform for federated learning in biomedicine: unified approach J Matschinske, J Späth, M Bakhtiari, N Probul, MM Kazemi Majdabadi, ... Journal of Medical Internet Research 25, e42621, 2023 | 8 | 2023 |
| Training Effective Neural Networks on Structured Data with Federated Learning A Pustozerova, A Rauber, R Mayer Advanced Information Networking and Applications. AINA 2021. 226, 2021 | 8 | 2021 |
| The featurecloud ai store for federated learning in biomedicine and beyond J Matschinske, J Späth, R Nasirigerdeh, R Torkzadehmahani, ... arXiv preprint arXiv:2105.05734, 2021 | 7 | 2021 |
| Analysing Utility Loss in Federated Learning with Differential Privacy A Pustozerova, J Baumbach, R Mayer 2023 IEEE 22nd International Conference on Trust, Security and Privacy in …, 2023 | 1 | 2023 |
| Differential Privacy for Machine Learning A Pustozerova CG-Journal : Das Magazin der Österreichischen Computergesellschaft, 2024 | | 2024 |
| Differentially Private Federated Learning: Privacy and Utility Analysis of Output Perturbation and DP-SGD A Pustozerova, J Baumbach, R Mayer 2023 IEEE International Conference on Big Data (BigData), 5549-5558, 2023 | | 2023 |
| Data Privacy in Smart Cities? Federated Learning to the Rescue? A Pustozerova, R Mayer ERCIM News 2021 (126), 0, 2021 | | 2021 |
| Selection principles for federated learning in privacy-sensitive settings A Pustozerova Wien, 2020 | | 2020 |
| Federated Machine Learning in Privacy-Sensitive Settings A Pustozerova | | |
| Helsinki Digital Humanities Hackathon DHH A Obukhova | | |
Rudolf MayerSBA Research & Vienna University of Technology在 sba-research.org 的电子邮件经过验证
