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@inproceedings{DBLP:conf/iccS/HannemannESB24,
  author       = {Anika Hannemann and
                  Jan Ewald and
                  Leo Seeger and
                  Erik Buchmann},
  editor       = {Leonardo Franco and
                  Cl{\'{e}}lia de Mulatier and
                  Maciej Paszynski and
                  Valeria V. Krzhizhanovskaya and
                  Jack J. Dongarra and
                  Peter M. A. Sloot},
  title        = {Federated Learning on Transcriptomic Data: Model Quality and Performance
                  Trade-Offs},
  booktitle    = {Computational Science - {ICCS} 2024 - 24th International Conference,
                  Malaga, Spain, July 2-4, 2024, Proceedings, Part {IV}},
  series       = {Lecture Notes in Computer Science},
  volume       = {14835},
  pages        = {279--293},
  publisher    = {Springer},
  year         = {2024},
  url          = {https://doi.org/10.1007/978-3-031-63772-8\_26},
  doi          = {10.1007/978-3-031-63772-8\_26},
  timestamp    = {Wed, 10 Jul 2024 20:46:40 +0200},
  biburl       = {https://dblp.org/rec/conf/iccS/HannemannESB24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2402-14527,
  author       = {Anika Hannemann and
                  Jan Ewald and
                  Leo Seeger and
                  Erik Buchmann},
  title        = {Federated Learning on Transcriptomic Data: Model Quality and Performance
                  Trade-Offs},
  journal      = {CoRR},
  volume       = {abs/2402.14527},
  year         = {2024},
  url          = {https://doi.org/10.48550/arXiv.2402.14527},
  doi          = {10.48550/ARXIV.2402.14527},
  eprinttype    = {arXiv},
  eprint       = {2402.14527},
  timestamp    = {Fri, 22 Mar 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2402-14527.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}