联邦学习在医疗信息化中的应用研究

Study on the Application of Federated Learning in Medical Informatization

介绍联邦学习技术分类和特点,阐述联邦学习技术在医疗信息化领域中的典型应用场景,包括心电异常检测、罕见病研究、老年人运动健康检测、医疗影像研究等方面,分析该领域面临的挑战和未来发展趋势。

The paper introduces the classification and characteristics of federated learning technology,expounds the typical application scenarios of federated learning technology in the field of medical informatization,including electrocardiograph(ECG)abnormal detection,rare disease research,elderly exercise health detection,medical imaging research,etc.,and analyzes the challenges and future development trends in this field.