Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning - researchr publication bibliographies

researchr

You are not signed in
Sign in
Sign up

Liangqiong Qu, Yuyin Zhou, Paul Pu Liang, Yingda Xia, Feifei Wang, Ehsan Adeli 0001, Li Fei-Fei 0001, Daniel L. Rubin. Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022. pages 10051-10061, IEEE, 2022. [doi]

runs on WebDSL