Multi-task Federated Learning Medical Analysis Algorithm Integrated into Adapter

doi:10.1109/ICBDA57405.2023.10104867

科研成果详情

题名	Multi-task Federated Learning Medical Analysis Algorithm Integrated into Adapter
作者	Zhao，Yuyuan 1; Zhao，Tian 1; Xiang，Peng 2; Li，Qingshan 3; Chen，Zhong 3
发表日期	2023
会议名称	8th IEEE International Conference on Big Data Analytics, ICBDA 2023
会议录名称	2023 IEEE 8th International Conference on Big Data Analytics, ICBDA 2023
页码	24-30
会议日期	2023-03-03——2023-03-03
会议地点	chn,Virtual, Online
摘要	Recently, the accumulated large amount of medical data has laid a solid foundation for the development of medical analysis. More and more data analysis methods have been proposed. But in this era, data security and data analysis capabilities have encountered significant challenges. First, medical data contains much information about the patient's health status, disease progression, treatment, etc., and also involves much basic knowledge of patients. The adverse impact will be immeasurable if these data are attacked and leaked. Second, Data analysis capabilities are limited by security rules and cannot be improved. We propose a multi-task personalized clinical evidence-based analysis algorithm integrated into the task adapter, built with the federated learning architecture as the underlying architecture. We conduct extensive experiments on public datasets. The effect gap between our proposed model and the traditional central training model can be controlled by 5% for all medical tasks, which indicates the clinical evidence-based analysis algorithm based on the federated learning framework can achieve the same effect of approaching centralized training without data leakage. It will make Multi-task medical joint training possible.
关键词	adapter federated learning medical analysis multi-task
DOI	10.1109/ICBDA57405.2023.10104867
URL	查看来源
语种	英语English
Scopus入藏号	2-s2.0-85158853484
引用统计
文献类型	会议论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/13469
专题	个人在本单位外知识产出
通讯作者	Zhao，Yuyuan
作者单位	1.School of Software and Microelectronics Peking University,Beijing,China 2.School of Computer Science Peking University,Beijing,China 3.School of Computer Science Peking University,HCST,Beijing,China
推荐引用方式 GB/T 7714	Zhao，Yuyuan,Zhao，Tian,Xiang，Penget al. Multi-task Federated Learning Medical Analysis Algorithm Integrated into Adapter[C], 2023: 24-30.