Efficient Privacy-Preserving Medical Cross-Silo Federated Learning
- DOI
- 10.1109/jbhi.2026.3740976
- Published
- 2026
- Container
- IEEE Journal of Biomedical and Health Informatics
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/jbhi.2026.3740976,
title = {Efficient Privacy-Preserving Medical Cross-Silo Federated Learning},
author = {Benjamin Hamm and Yannick Kirchhoff and Maximilian Rokuss and Philipp Schader and Peter Neher and Santhosh Parampottupadam and Ralf Floca and Klaus Maier-Hein},
year = {2026},
journal = {IEEE Journal of Biomedical and Health Informatics},
doi = {10.1109/jbhi.2026.3740976},
url = {https://doi.org/10.1109/jbhi.2026.3740976}
}RIS
TY - JOUR TI - Efficient Privacy-Preserving Medical Cross-Silo Federated Learning AU - Benjamin Hamm AU - Yannick Kirchhoff AU - Maximilian Rokuss AU - Philipp Schader AU - Peter Neher AU - Santhosh Parampottupadam AU - Ralf Floca AU - Klaus Maier-Hein PY - 2026 JO - IEEE Journal of Biomedical and Health Informatics DO - 10.1109/jbhi.2026.3740976 UR - https://doi.org/10.1109/jbhi.2026.3740976 ER -
APA
Hamm, B., Kirchhoff, Y., Rokuss, M., Schader, P., Neher, P., Parampottupadam, S., Floca, R., & Maier-Hein, K. (2026). Efficient Privacy-Preserving Medical Cross-Silo Federated Learning. IEEE Journal of Biomedical and Health Informatics. https://doi.org/10.1109/jbhi.2026.3740976
Source records
- crossref · retrieved 2026-11-06T05:14:11.155Z