Federated machine learning in healthcare: a systematic review on clinical applications and technical architecture

• Main Authors: Teo, Zhen Ling, Jin, Liyuan, Li, Siqi, Miao, Di, Zhang, Xiaoman, Ng, Wei Yan, Tan, Ting Fang, Lee, Deborah Meixuan, Chua, Kai Jie, Heng, John, Liu, Yong, Goh, Rick Siow Mong, Ting, Daniel Shu Wei
• Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
• Format: Article
• Language: English
• Published: 2024
• Subjects: Medicine, Health and Life Sciences; Artificial intelligence; Federated learning
• Online Access: https://hdl.handle.net/10356/178493
• Institution: Nanyang Technological University

Federated learning (FL) is a distributed machine learning framework that is gaining traction in view of increasing health data privacy protection needs. By conducting a systematic review of FL applications in healthcare, we identify relevant articles in scientific, engineering, and medical journals...