Juan Zhao, Yuankai Zhang 0002, Ruixuan Li 0001, Yuhua Li 0003, Haozhao Wang, Xiaoquan Yi, Zhiying Deng. XFed: Improving Explainability in Federated Learning by Intersection Over Union Ratio Extended Client Selection. In Kobi Gal, Ann Nowé, Grzegorz J. Nalepa, Roy Fairstein, Roxana Radulescu, editors, ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland - Including 12th Conference on Prestigious Applications of Intelligent Systems (PAIS 2023). Volume 372 of Frontiers in Artificial Intelligence and Applications, pages 3099-3106, IOS Press, 2023. [doi]
@inproceedings{Zhao000WYD23,
title = {XFed: Improving Explainability in Federated Learning by Intersection Over Union Ratio Extended Client Selection},
author = {Juan Zhao and Yuankai Zhang 0002 and Ruixuan Li 0001 and Yuhua Li 0003 and Haozhao Wang and Xiaoquan Yi and Zhiying Deng},
year = {2023},
doi = {10.3233/FAIA230628},
url = {https://doi.org/10.3233/FAIA230628},
researchr = {https://researchr.org/publication/Zhao000WYD23},
cites = {0},
citedby = {0},
pages = {3099-3106},
booktitle = {ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland - Including 12th Conference on Prestigious Applications of Intelligent Systems (PAIS 2023)},
editor = {Kobi Gal and Ann Nowé and Grzegorz J. Nalepa and Roy Fairstein and Roxana Radulescu},
volume = {372},
series = {Frontiers in Artificial Intelligence and Applications},
publisher = {IOS Press},
isbn = {978-1-64368-437-6},
}