In the Pursuit of Privacy: The Promises and Predicaments of Federated Learning in Healthcare

In the Pursuit of Privacy: The Promises and Predicaments of Federated Learning in Healthcare

Artificial Intelligence and its subdomain, Machine Learning (ML), have shown the potential to make an unprecedented impact in healthcare. Federated Learning (FL) has been introduced to alleviate some of the limitations of ML, particularly the capability to train on larger datasets for improved perfo...

Full description

Bibliographic Details
Main Authors: Mustafa Y. Topaloglu, Elisabeth M. Morrell, Suraj Rajendran, Umit Topaloglu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Artificial Intelligence
Subjects:
machine learning
federated learning
data sharing
machine learning legal and ethical issues
machine learning social and regulatory issues
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2021.746497/full

Internet

https://www.frontiersin.org/articles/10.3389/frai.2021.746497/full

Similar Items