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Author Correction: Truly privacy-preserving federated analytics for precision medicine with multiparty homomorphic encryption

Author

Listed:
  • David Froelicher

    (EPFL)

  • Juan R. Troncoso-Pastoriza

    (EPFL)

  • Jean Louis Raisaro

    (Lausanne University Hospital
    Lausanne University Hospital)

  • Michel A. Cuendet

    (Lausanne University Hospital)

  • Joao Sa Sousa

    (EPFL)

  • Hyunghoon Cho

    (Broad Institute of MIT and Harvard)

  • Bonnie Berger

    (Broad Institute of MIT and Harvard
    MIT
    MIT)

  • Jacques Fellay

    (Lausanne University Hospital
    EPFL)

  • Jean-Pierre Hubaux

    (EPFL)

Abstract

No abstract is available for this item.

Suggested Citation

  • David Froelicher & Juan R. Troncoso-Pastoriza & Jean Louis Raisaro & Michel A. Cuendet & Joao Sa Sousa & Hyunghoon Cho & Bonnie Berger & Jacques Fellay & Jean-Pierre Hubaux, 2021. "Author Correction: Truly privacy-preserving federated analytics for precision medicine with multiparty homomorphic encryption," Nature Communications, Nature, vol. 12(1), pages 1-1, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-26885-6
    DOI: 10.1038/s41467-021-26885-6
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    Citations

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    Cited by:

    1. Tao Qi & Fangzhao Wu & Chuhan Wu & Liang He & Yongfeng Huang & Xing Xie, 2023. "Differentially private knowledge transfer for federated learning," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    2. Miran Kim & Xiaoqian Jiang & Kristin Lauter & Elkhan Ismayilzada & Shayan Shams, 2022. "Secure human action recognition by encrypted neural network inference," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    3. Helin Yang & Kwok-Yan Lam & Liang Xiao & Zehui Xiong & Hao Hu & Dusit Niyato & H. Vincent Poor, 2022. "Lead federated neuromorphic learning for wireless edge artificial intelligence," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    4. Chongliang Luo & Md. Nazmul Islam & Natalie E. Sheils & John Buresh & Jenna Reps & Martijn J. Schuemie & Patrick B. Ryan & Mackenzie Edmondson & Rui Duan & Jiayi Tong & Arielle Marks-Anglin & Jiang Bi, 2022. "DLMM as a lossless one-shot algorithm for collaborative multi-site distributed linear mixed models," Nature Communications, Nature, vol. 13(1), pages 1-10, December.

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