Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Anastasia Pustozerova"'
Autor:
Julian Matschinske, Julian Späth, Mohammad Bakhtiari, Niklas Probul, Mohammad Mahdi Kazemi Majdabadi, Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Anne Hartebrodt, Balazs-Attila Orban, Sándor-József Fejér, Olga Zolotareva, Supratim Das, Linda Baumbach, Josch K Pauling, Olivera Tomašević, Béla Bihari, Marcus Bloice, Nina C Donner, Walid Fdhila, Tobias Frisch, Anne-Christin Hauschild, Dominik Heider, Andreas Holzinger, Walter Hötzendorfer, Jan Hospes, Tim Kacprowski, Markus Kastelitz, Markus List, Rudolf Mayer, Mónika Moga, Heimo Müller, Anastasia Pustozerova, Richard Röttger, Christina C Saak, Anna Saranti, Harald H H W Schmidt, Christof Tschohl, Nina K Wenke, Jan Baumbach
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e42621 (2023)
BackgroundMachine learning and artificial intelligence have shown promising results in many areas and are driven by the increasing amount of available data. However, these data are often distributed across different institutions and cannot be easily
Externí odkaz:
https://doaj.org/article/291c28483a50402ea7629f652a71d7c5
Publikováno v:
Lecture Notes in Networks and Systems
Lecture Notes in Networks and Systems-Advanced Information Networking and Applications
Advanced Information Networking and Applications ISBN: 9783030750749
AINA (2)
Advanced Information Networking and Applications-Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 2
Lecture Notes in Networks and Systems-Advanced Information Networking and Applications
Advanced Information Networking and Applications ISBN: 9783030750749
AINA (2)
Advanced Information Networking and Applications-Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 2
Federated Learning decreases privacy risks when training Machine Learning (ML) models on distributed data, as it removes the need for sharing and centralizing sensitive data. However, this learning paradigm can also influence the effectiveness of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72229c2973e4687bcfcacb3d68b3b490