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

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

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...

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Bibliographic Details
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/
http://umpir.ump.edu.my/id/eprint/38111/1/A%20survey%20of%20federated%20learning%20from%20data%20perspective%20in%20the%20healthcare%20domain.pdf

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