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

Security and Privacy of mHealth and uHealth (126) Machine Learning (1501) Wearable Devices and Sensors (903) Ethics, Privacy, and Legal Issues (494) mHealth for Data Collection and Research (981)

Published on in Vol 9, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23728, first published .
Learning From Others Without Sacrificing Privacy: Simulation Comparing Centralized and Federated Machine Learning on Mobile Health Data

Learning From Others Without Sacrificing Privacy: Simulation Comparing Centralized and Federated Machine Learning on Mobile Health Data

Learning From Others Without Sacrificing Privacy: Simulation Comparing Centralized and Federated Machine Learning on Mobile Health Data

Authors of this article:

Jessica Chia Liu1 Author Orcid Image ;   Jack Goetz1 Author Orcid Image ;   Srijan Sen2, 3 Author Orcid Image ;   Ambuj Tewari1 Author Orcid Image
Article Authors Cited by (33) Tweetations (3) Metrics

Jessica Chia Liu   1 , MA ;   Jack Goetz   1 , PhD ;   Srijan Sen   2, 3 , MD, PhD ;   Ambuj Tewari   1 , PhD

1 Department of Statistics, University of Michigan, Ann Arbor, MI, United States

2 Molecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI, United States

3 Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States

Corresponding Author:

  • Jessica Chia Liu, MA
  • Department of Statistics
  • University of Michigan
  • 1085 South University Ave
  • Ann Arbor, MI, 48109
  • United States
  • Phone: 1 7346474820
  • Email: liujess@umich.edu