Personalized Federated Learning With Adaptive Batchnorm for Healthcare

doi:10.1109/TBDATA.2022.3177197

	Personalized Federated Learning With Adaptive Batchnorm for Healthcare
	Lu, Wang 1,2; Wang, Jindong 3; Chen, Yiqiang 4; Qin, Xin 1,2; Xu, Renjun 5; Dimitriadis, Dimitrios 6; Qin, Tao 3
	2024-12-01
发表期刊	IEEE TRANSACTIONS ON BIG DATA
ISSN	2332-7790
卷号	10 期号:6 页码:915-925
摘要	There is a growing interest in applying machine learning techniques to healthcare. Recently, federated learning (FL) is gaining popularity since it allows researchers to train powerful models without compromising data privacy and security. However, the performance of existing FL approaches often deteriorates when encountering non-iid situations where there exist distribution gaps among clients, and few previous efforts focus on personalization in healthcare. In this article, we propose FedAP to tackle domain shifts and then obtain personalized models for local clients. FedAP learns the similarity between clients based on the statistics of the batch normalization layers while preserving the specificity of each client with different local batch normalization. Comprehensive experiments on five healthcare benchmarks demonstrate that FedAP achieves better accuracy compared to state-of-the-art methods (e.g., 10%+ accuracy improvement for PAMAP2) with faster convergence speed.
关键词	Medical services Collaborative work Data models Adaptation models Computational modeling Machine learning Data privacy Distributed computing federated learning personalization batch normalization healthcare
DOI	10.1109/TBDATA.2022.3177197
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Plan of China[2021YFC2501202] ; Natural Science Foundation of China[61972383] ; Natural Science Foundation of China[61902377] ; Natural Science Foundation of China[61902379] ; Beijing Municipal Science & Technology Commission[Z211100002121171]
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Theory & Methods
WOS记录号	WOS:001354646300015
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：20[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/39484
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Wang, Jindong; Chen, Yiqiang
作者单位	1.Univ Chinese Acad Sci, Beijing 101408, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100045, Peoples R China 3.Microsoft Res Asia, Beijing 100080, Peoples R China 4.Chinese Acad Sci, Pengcheng Lab, Inst Comp Technol, Shenzhen 518066, Peoples R China 5.Zhejiang Univ, Hangzhou 310027, Peoples R China 6.Microsoft Res, Redmond, WA 98052 USA
推荐引用方式 GB/T 7714	Lu, Wang,Wang, Jindong,Chen, Yiqiang,et al. Personalized Federated Learning With Adaptive Batchnorm for Healthcare[J]. IEEE TRANSACTIONS ON BIG DATA,2024,10(6):915-925.
APA	Lu, Wang.,Wang, Jindong.,Chen, Yiqiang.,Qin, Xin.,Xu, Renjun.,...&Qin, Tao.(2024).Personalized Federated Learning With Adaptive Batchnorm for Healthcare.IEEE TRANSACTIONS ON BIG DATA,10(6),915-925.
MLA	Lu, Wang,et al."Personalized Federated Learning With Adaptive Batchnorm for Healthcare".IEEE TRANSACTIONS ON BIG DATA 10.6(2024):915-925.