CAreFL: enhancing smart healthcare with contribution-aware federated learning

CAreFL: enhancing smart healthcare with contribution-aware federated learning

Artificial intelligence (AI) is a promising technology to transform the healthcare industry. Due to the highly sensitive nature of patient data, federated learning (FL) is often leveraged to build models for smart healthcare applications. Existing deployed FL frameworks cannot address the key issues...

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Bibliographic Details
Main Authors: Liu, Zelei, Chen, Yuanyuan, Zhao, Yansong, Yu, Han, Liu, Yang, Bao, Renyi, Jiang, Jinpeng, Nie, Zaiqing, Xu, Qian, Yang, Qiang
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Computer science and engineering
Data Quality
Health Care Application
Online Access:https://hdl.handle.net/10356/171138

Internet

https://hdl.handle.net/10356/171138

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