APA (7th ed.) Citation

Qu, L., Zhou, Y., Liang, P. P., Xia, Y., Wang, F., Adeli, E., . . . Rubin, D. (2022). Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning. Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online), 2022, 10051-10061. https://doi.org/10.1109/CVPR52688.2022.00982

Chicago Style (17th ed.) Citation

Qu, Liangqiong, Yuyin Zhou, Paul Pu Liang, Yingda Xia, Feifei Wang, Ehsan Adeli, Li Fei-Fei, and Daniel Rubin. "Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning." Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) 2022 (2022): 10051-10061. https://doi.org/10.1109/CVPR52688.2022.00982.

MLA (9th ed.) Citation

Qu, Liangqiong, et al. "Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning." Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online), vol. 2022, 2022, pp. 10051-10061, https://doi.org/10.1109/CVPR52688.2022.00982.