自动化学报（英文版）2023，Vol.10Issue(4)：859-876,18.DOI:10.1109/JAS.2023.123123
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
Ahmad Chaddad 1Qizong Lu 1Jiali Li 1Yousef Katib 2Reem Kateb 3Camel Tanougast 4Ahmed Bouridane 5Ahmed Abdulkadir6
作者信息
- 1. School of Artificial intelligence,Guilin Universiy of Electronic Technology,Guilin 541004,China.A.Chaddad is also with The Laboratory for Imagery,Vision and Artificial Intelligence,Ecole de Technologie Superieure,Montreal,Quebec H3C 1K3,Canada
- 2. College of Medicine,Taibah University,Madinah 42353,Saudi Arabia
- 3. College of Computer Science and Engineering,Taibah University,Madinah 42353,Saudi Arabia
- 4. Laboratory of Design,Optimization and Modeling Systems,University of Lorraine,Metz 57070,France
- 5. Center for Data Analytics and Cybersecurity(CDAC),University of Sharjah,Sharjah 27272,United Arab Emirates
- 6. Laboratoire de recherche en neuroimagerie,Centre Hospitalier Universitaire Vaudois,Mont Paisible 16,1011,Lausanne,Switzerland
- 折叠
摘要
关键词
Domain adaptation/explainable artificial intelli-gence/federated learningKey words
Domain adaptation/explainable artificial intelli-gence/federated learning引用本文复制引用
Ahmad Chaddad,Qizong Lu,Jiali Li,Yousef Katib,Reem Kateb,Camel Tanougast,Ahmed Bouridane,Ahmed Abdulkadir..Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine[J].自动化学报（英文版）,2023,10(4):859-876,18.基金项目
This work was supported in part by the National Natural Science Foundation of China(82260360)and the Foreign Young Talent Program(QN2021033002L). （82260360）
