%0 Conference Paper %1 conf/cvpr/GaoFLC0022 %A Gao, Liang %A Fu, Huazhu %A Li, Li %A Chen, Yingwen %A Xu, Ming %A Xu, Cheng-Zhong %B CVPR %D 2022 %I IEEE %K dblp %P 10102-10111 %T FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction. %U http://dblp.uni-trier.de/db/conf/cvpr/cvpr2022.html#GaoFLC0022 %@ 978-1-6654-6946-3

@inproceedings{conf/cvpr/GaoFLC0022, added-at = {2024-02-05T00:00:00.000+0100}, author = {Gao, Liang and Fu, Huazhu and Li, Li and Chen, Yingwen and Xu, Ming and Xu, Cheng-Zhong}, biburl = {https://www.bibsonomy.org/bibtex/271555d103916da2689bee64abdcce8b3/dblp}, booktitle = {CVPR}, crossref = {conf/cvpr/2022}, ee = {https://doi.org/10.1109/CVPR52688.2022.00987}, interhash = {015c96fced8bc926c96b15e7b2550317}, intrahash = {71555d103916da2689bee64abdcce8b3}, isbn = {978-1-6654-6946-3}, keywords = {dblp}, pages = {10102-10111}, publisher = {IEEE}, timestamp = {2024-04-09T20:54:30.000+0200}, title = {FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction.}, url = {http://dblp.uni-trier.de/db/conf/cvpr/cvpr2022.html#GaoFLC0022}, year = 2022 }