@inproceedings{conf/bigdataconf/CheLWWXM21,
added-at = {2022-01-18T00:00:00.000+0100},
author = {Che, Liwei and Long, Zewei and Wang, Jiaqi and Wang, Yaqing and Xiao, Houping and Ma, Fenglong},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2fd09575c0c46e4ca714b8e7a39b361cc/dblp},
booktitle = {IEEE BigData},
crossref = {conf/bigdataconf/2021},
editor = {Chen, Yixin and Ludwig, Heiko and Tu, Yicheng and Fayyad, Usama M. and Zhu, Xingquan and Hu, Xiaohua and Byna, Suren and Liu, Xiong and Zhang, Jianping and Pan, Shirui and Papalexakis, Vagelis and Wang, Jianwu and Cuzzocrea, Alfredo and Ordonez, Carlos},
ee = {https://doi.org/10.1109/BigData52589.2021.9671374},
interhash = {8fb2c36ca0b86634daabc2940f0d1329},
intrahash = {fd09575c0c46e4ca714b8e7a39b361cc},
isbn = {978-1-6654-3902-2},
keywords = {dblp},
pages = {715-724},
publisher = {IEEE},
timestamp = {2022-03-01T07:04:00.000+0100},
title = {FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning.},
url = {http://dblp.uni-trier.de/db/conf/bigdataconf/bigdataconf2021.html#CheLWWXM21},
year = 2021
}