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FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction
Liang Gao1; Huazhu Fu2; Li Li3; Yingwen Chen4; Ming Xu5; Cheng-Zhong Xu6
2022-06
Conference NameThe IEEE / CVF Computer Vision and Pattern Recognition Conference
Source PublicationThe IEEE / CVF Computer Vision and Pattern Recognition Conference
Conference Date2022-06
Conference PlaceNew Orleans, Louisiana
CountryUSA
URLView the original
Language英語English
Document TypeConference paper
CollectionFaculty of Science and Technology
Corresponding AuthorYingwen Chen; Ming Xu
Affiliation1.National University of Defense Technology
2.IHPC, ASTAR
3.State Key Laboratory of Internet of Things for Smart City, University of Macau
4.National University of Defense Technology
5.National University of Defense Technology
6.State Key Laboratory of Internet of Things for Smart City, University of Macau
Recommended Citation
GB/T 7714
Liang Gao,Huazhu Fu,Li Li,et al. FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction[C],2022.
APA Liang Gao,Huazhu Fu,Li Li,Yingwen Chen,Ming Xu,&Cheng-Zhong Xu.(2022).FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction.The IEEE / CVF Computer Vision and Pattern Recognition Conference.
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