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-Zitierstil (17. Ausg.)Qu, Liangqiong, Yuyin Zhou, Paul Pu Liang, Yingda Xia, Feifei Wang, Ehsan Adeli, Li Fei-Fei, und 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-Zitierstil (9. Ausg.)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.