%0 Journal Article %1 hannemann2025private %A Hannemann, Anika %A Swaminathan, Arjhun %A Ünal, Ali Burak %A Akgün, Mete %D 2025 %J 19th International Meeting, CIBB 2024, Benevento, Italy, September 4–6, 2024, Revised Selected Papers %K Efficient Kernel_Learning Medical_Image_Analysis Private Scalable nopdf %R 10.1007/978-3-031-89704-7 %T Private, Efficient and Scalable Kernel Learning for Medical Image Analysis %U https://link.springer.com/book/10.1007/978-3-031-89704-7#bibliographic-information

@article{hannemann2025private, added-at = {2024-12-11T12:15:50.000+0100}, archiveprefix = {arXiv}, author = {Hannemann, Anika and Swaminathan, Arjhun and Ünal, Ali Burak and Akgün, Mete}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/21f4c7fdb32613c8f801bd4a855fd8337/scadsfct}, doi = {10.1007/978-3-031-89704-7}, eprint = {2410.15840}, interhash = {452b301df5d62131be4e3a0415d8af13}, intrahash = {1f4c7fdb32613c8f801bd4a855fd8337}, journal = {19th International Meeting, CIBB 2024, Benevento, Italy, September 4–6, 2024, Revised Selected Papers}, keywords = {Efficient Kernel_Learning Medical_Image_Analysis Private Scalable nopdf}, primaryclass = {cs.CR}, timestamp = {2025-06-20T10:39:20.000+0200}, title = {Private, Efficient and Scalable Kernel Learning for Medical Image Analysis}, url = {https://link.springer.com/book/10.1007/978-3-031-89704-7#bibliographic-information}, year = 2025 }