Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges

Federated learning is the process of developing machine models over datasets distributed across data centers such as hospitals, clinical research labs, and mobile devices while preventing leakage. This survey examines previous studies on federated in healthcare sector a range use cases applications. Our shows what challenges, methods, applications practitioner should be aware topic learning. paper aims to lay out existing list possibilities for industries.