Risk and Advantages of Federated Learning for Health Care Data Collaboration
Published in ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. 6(3)., 2020
Recommended citation: Bogdanova, A., Attoh-Okine, N., & Sakurai, T. (2020). Risk and Advantages of Federated Learning for Health Care Data Collaboration. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 6(3), 04020031.
In this paper, we analyze the applicability of Federated Learning for health care applications in terms of scalability and the risks of membership inference attacks.