Author Correction: Truly privacy-preserving federated analytics for precision medicine with multiparty homomorphic encryption (Nature Communications, (2021), 12, 1, (5910), 10.1038/s41467-021-25972-y)

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Abstract

The original version of this Article omitted a reference to previous work in ‘Blatt, M., Gusev, A., Polyakov, Y. & Goldwasser, S. Secure large-scale genome-wide association studies using homomorphic encryption. Proc. Natl. Acad. Sci. USA 117, 11608–11613 (2020)’. This has been added as reference 25 at the fifth paragraph of the Introduction, second line: ‘More sophisticated solutions for FA, which aim to provide end-to-end privacy protection, including for the shared intermediate data, have been proposed15–25.’. This has been corrected in the PDF and HTML versions of the Article.

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Froelicher, D., Troncoso-Pastoriza, J. R., Raisaro, J. L., Cuendet, M. A., Sousa, J. S., Cho, H., … Hubaux, J. P. (2021, December 1). Author Correction: Truly privacy-preserving federated analytics for precision medicine with multiparty homomorphic encryption (Nature Communications, (2021), 12, 1, (5910), 10.1038/s41467-021-25972-y). Nature Communications. Nature Research. https://doi.org/10.1038/s41467-021-26885-6

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