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
Citácia podle Chicago (17th ed.)Qu, Liangqiong, Yuyin Zhou, Paul Pu Liang, Yingda Xia, Feifei Wang, Ehsan Adeli, Li Fei-Fei, a 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.
Citácia podľa MLA (8th ed.)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.