This paper is in the following e-collection/theme issue:

Machine Learning (1401) Electronic Health Records (971) Adoption and Change Management of eHealth Systems (677) Tools, Programs and Algorithms (246) Ontologies, Classifications, and Coding (227) Ethics, Privacy, and Legal Issues (458)

Published on in Vol 9, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26598, first published .
Implementing Vertical Federated Learning Using Autoencoders: Practical Application, Generalizability, and Utility Study

Implementing Vertical Federated Learning Using Autoencoders: Practical Application, Generalizability, and Utility Study

Implementing Vertical Federated Learning Using Autoencoders: Practical Application, Generalizability, and Utility Study

Authors of this article:

Dongchul Cha1, 2 Author Orcid Image ;   MinDong Sung1 Author Orcid Image ;   Yu-Rang Park1 Author Orcid Image
Article Authors Cited by (20) Tweetations (2) Metrics

Dongchul Cha   1, 2 , MD ;   MinDong Sung   1 , MD ;   Yu-Rang Park   1 , PhD

1 Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea

2 Department of Otorhinolaryngology, Yonsei University College of Medicine, Seoul, Republic of Korea

Corresponding Author:

  • Yu-Rang Park, PhD
  • Department of Biomedical Systems Informatics
  • Yonsei University College of Medicine
  • 50-1 Yonsei-ro
  • Sinchon-dong, Seodaemun-gu
  • Seoul, 03722
  • Republic of Korea
  • Phone: 82 2-2228-2363
  • Email: yurangpark@yuhs.ac