A privacy-preserving framework for collaborative machine learning with kernel methods
A. Hannemann, A. Ünal, A. Swaminathan, E. Buchmann, and M. Akgün. 2023 5th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA), IEEE, (November 2023)
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%0 Conference Paper
%1 Hannemann2023-ex
%A Hannemann, Anika
%A Ünal, Ali Burak
%A Swaminathan, Arjhun
%A Buchmann, Erik
%A Akgün, Mete
%B 2023 5th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA)
%D 2023
%I IEEE
%K
%T A privacy-preserving framework for collaborative machine learning with kernel methods
@inproceedings{Hannemann2023-ex,
added-at = {2024-09-10T10:41:24.000+0200},
author = {Hannemann, Anika and {\"U}nal, Ali Burak and Swaminathan, Arjhun and Buchmann, Erik and Akg{\"u}n, Mete},
biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2304db08b539d7edeb6196b6ea07f09b2/scadsfct},
booktitle = {2023 5th {IEEE} International Conference on Trust, Privacy and Security in Intelligent Systems and Applications ({TPS-ISA})},
conference = {2023 5th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA)},
interhash = {8c3548c0553e86a6f2a735ae03680a60},
intrahash = {304db08b539d7edeb6196b6ea07f09b2},
keywords = {},
location = {Atlanta, GA, USA},
month = nov,
publisher = {IEEE},
timestamp = {2024-09-10T10:47:32.000+0200},
title = {A privacy-preserving framework for collaborative machine learning with kernel methods},
year = 2023
}
