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