Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-Offs

Author:

Hannemann Anika,Ewald Jan,Seeger Leo,Buchmann Erik

Publisher

Springer Nature Switzerland

Reference35 articles.

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3. Adnan, M., Kalra, S., Cresswell, J.C., Taylor, G.W., Tizhoosh, H.R.: Federated learning and differential privacy for medical image analysis. Sci. Rep. 12(1), 1953 (2022)

4. Antunes, R.S., André da Costa, C., Küderle, A., Yari, I.A., Eskofier, B.: Federated learning for healthcare: Systematic review and architecture proposal. ACM Trans. Intell. Syst. Technol. (TIST) 13(4), 1–23 (2022)

5. Beguier, C., Terrail, J.O.D., Meah, I., Andreux, M., Tramel, E.W.: Differentially private federated learning for cancer prediction. arXiv preprint arXiv:2101.02997 (2021)

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