Federated Learning on Clinical Benchmark Data: Performance Assessment.
Journal:
Journal of medical Internet research
Published Date:
Oct 26, 2020
Abstract
BACKGROUND: Federated learning (FL) is a newly proposed machine-learning method that uses a decentralized dataset. Since data transfer is not necessary for the learning process in FL, there is a significant advantage in protecting personal privacy. Therefore, many studies are being actively conducted in the applications of FL for diverse areas.