BibTeX record conf/csci/EzeluB22

download as .bib file

@inproceedings{DBLP:conf/csci/EzeluB22,
  author       = {Chukwuebuka Ezelu and
                  Ulrich Buehler},
  title        = {Privacy-Preserving Collaborative Intrusion Detection Systems: {A}
                  Federated Learning Framework},
  booktitle    = {International Conference on Computational Science and Computational
                  Intelligence, {CSCI} 2022, Las Vegas, NV, USA, December 14-16, 2022},
  pages        = {1076--1079},
  publisher    = {{IEEE}},
  year         = {2022},
  url          = {https://doi.org/10.1109/CSCI58124.2022.00190},
  doi          = {10.1109/CSCI58124.2022.00190},
  timestamp    = {Mon, 22 Apr 2024 17:24:43 +0200},
  biburl       = {https://dblp.org/rec/conf/csci/EzeluB22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
a service of  Schloss Dagstuhl - Leibniz Center for Informatics

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.