Data-Free Distillation Improves Efficiency and Privacy in Federated Thorax Disease Analysis
Author:
Affiliation:
1. Imperial College London,Bioengineering Department and Imperial-X,London W12 7SL,UK
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10404092/10404107/10405205.pdf?arnumber=10405205
Reference5 articles.
1. Validation of electronic medical record-based phenotyping algorithms: results and lessons learned from the eMERGE network
2. Communication-efficient learning of deep networks from decentralized data;McMahan,2017
3. Ensemble distillation for robust model fusion in federated learning;Lin;Advances in Neural Information Processing Systems,2020
4. ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
5. Progressive growing of gans for improved quality, stability, and variation;Karras
Cited by 1 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. Where to Begin? From Random to Foundation Model Instructed Initialization in Federated Learning for Medical Image Segmentation;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27
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