Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s10586-022-03658-4.pdf
Reference248 articles.
1. Muhammad, G., Alshehri, F., Karray, F., El Saddik, A., Alsulaiman, M., Falk, T.H.: A comprehensive survey on multimodal medical signals fusion for smart healthcare systems. Information Fusion 76, 355–375 (2021)
2. Nguyen, D.C., Cheng, P., Ding, M., Lopez-Perez, D., Pathirana, P.N., Li, J., Seneviratne, A., Li, Y., Poor, H.V.: Enabling ai in future wireless networks: a data life cycle perspective. IEEE Commun Sur Tutorials 23(1), 553–595 (2020)
3. Shickel, B., Tighe, P.J., Bihorac, A., Rashidi, P.: Deep ehr: a survey of recent advances in deep learning techniques for electronic health record (ehr) analysis. IEEE J. Biomed. Health Informat. 22(5), 1589–1604 (2017)
4. Li, D., Luo, Z., Cao, B.: Blockchain-based federated learning methodologies in smart environments. Cluster Computing pp. 1–15 (2021)
5. Rahman, A., Islam, M.J., Saikat Islam Khan, M., Kabir, S., Pritom, A.I., Razaul Karim, M.: Block-sdotcloud: Enhancing security of cloud storage through blockchain-based sdn in iot network. In: 2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI), pp. 1–6 (2020). https://doi.org/10.1109/STI50764.2020.9350419
Cited by 97 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Review on Federated Learning for digital transformation in healthcare through big data analytics;Future Generation Computer Systems;2024-11
2. Federated Learning for Collaborative Cyber Defense;Advances in Digital Crime, Forensics, and Cyber Terrorism;2024-09-13
3. Examining the applicability of the Protection of Personal Information Act in AI-driven environments;South African Journal of Information Management;2024-08-30
4. Federated Learning of XAI Models in Healthcare: A Case Study on Parkinson’s Disease;Cognitive Computation;2024-08-28
5. Reforming China’s Secondary Vocational Medical Education: Adapting to the Challenges and Opportunities of the AI Era;JMIR Medical Education;2024-08-15
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3