%0 Conference Paper %1 conf/ijcnn/ZhuMZZY21 %A Zhu, Yuanshao %A Markos, Christos %A Zhao, Ruihui %A Zheng, Yefeng %A Yu, James J. Q. %B IJCNN %D 2021 %I IEEE %K dblp %P 1-7 %T FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data. %U http://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2021.html#ZhuMZZY21 %@ 978-1-6654-3900-8

@inproceedings{conf/ijcnn/ZhuMZZY21, added-at = {2022-10-02T00:00:00.000+0200}, author = {Zhu, Yuanshao and Markos, Christos and Zhao, Ruihui and Zheng, Yefeng and Yu, James J. Q.}, biburl = {https://www.bibsonomy.org/bibtex/26e60c3b59eceb1301cf76e01896f7c63/dblp}, booktitle = {IJCNN}, crossref = {conf/ijcnn/2021}, ee = {https://doi.org/10.1109/IJCNN52387.2021.9533409}, interhash = {a882952f5b123074db270be7c0227e51}, intrahash = {6e60c3b59eceb1301cf76e01896f7c63}, isbn = {978-1-6654-3900-8}, keywords = {dblp}, pages = {1-7}, publisher = {IEEE}, timestamp = {2024-04-09T23:43:57.000+0200}, title = {FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data.}, url = {http://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2021.html#ZhuMZZY21}, year = 2021 }