A survey of federated learning from data perspective in the healthcare domain : Challenges, methods, and future directions

• Main Authors: Taha, Zahraa Khduair, Yaw, Chong Tak, Koh, Siaw Paw, Tiong, Sieh Kiong, Kadirgama, Kumaran, Benedict, Foo, Tan, Jian Ding, Balasubramaniam, Yogendra A.L.
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2023
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General); TJ Mechanical engineering and machinery; TL Motor vehicles. Aeronautics. Astronautics
• Online Access: http://umpir.ump.edu.my/id/eprint/38111/1/A%20survey%20of%20federated%20learning%20from%20data%20perspective%20in%20the%20healthcare%20domain.pdf; http://umpir.ump.edu.my/id/eprint/38111/; https://doi.org/10.1109/ACCESS.2023.3267964; https://doi.org/10.1109/ACCESS.2023.3267964

Recent advances in deep learning (DL) have shown that data-driven insights can be used in smart healthcare applications to improve the quality of life for patients. DL needs more data and diversity to build a more accurate system. To satisfy these requirements, more data need to be pooled at the cen...