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Privacy-preserving machine learning with a focus on differential privacy and its applications to deep learning; federated learning; probabilistic machine learning; machine learning foundations; computer vision and medical imaging analysis.
Privacy-preserving machine learning with a focus on differential privacy and its applications to deep learning; federated learning; probabilistic machine learning; machine learning foundations; computer vision and medical imaging analysis.
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论文共 151 篇作者统计合作学者相似作者
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The Journal of Privacy and Confidentialityno. 1 (2024)
Communications Medicineno. 1 (2024): 1-12
Alexander H. Berger, Laurin Lux,Suprosanna Shit,Ivan Ezhov,Georgios Kaissis,Martin J. Menten,Daniel Rueckert,Johannes C. Paetzold
CoRR (2024)
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EBIOMEDICINE (2024): 105002-105002
IEEE TRANSACTIONS ON MEDICAL IMAGINGno. 1 (2024): 241-252
Kristian Schwethelm, Johannes Kaiser,Moritz Knolle,Daniel Rueckert,Georgios Kaissis,Alexander Ziller
CoRR (2024)
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MEDICAL IMAGE ANALYSIS (2024): 103059-103059
Soroosh Tayebi Arasteh,Mahshad Lotfinia,Teresa Nolte, Marwin-Jonathan Saehn,Peter Isfort,Christiane Kuhl,Sven Nebelung,Georgios Kaissis,Daniel Truhn
RADIOLOGY-ARTIFICIAL INTELLIGENCEno. 1 (2024)
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