On the Effectiveness of Partial Variance Reduction in Federated Learning with Heterogeneous Data
- DOI
- 10.1109/cvpr52729.2023.00386
- Published
- 2023-06
- Container
- 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Publisher
- IEEE
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/cvpr52729.2023.00386,
title = {On the Effectiveness of Partial Variance Reduction in Federated Learning with Heterogeneous Data},
author = {Bo Li and Mikkel N. Schmidt and Tommy S. Alstrøm and Sebastian U. Stich},
year = {2023},
journal = {2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
doi = {10.1109/cvpr52729.2023.00386},
url = {https://doi.org/10.1109/cvpr52729.2023.00386}
}RIS
TY - JOUR TI - On the Effectiveness of Partial Variance Reduction in Federated Learning with Heterogeneous Data AU - Bo Li AU - Mikkel N. Schmidt AU - Tommy S. Alstrøm AU - Sebastian U. Stich PY - 2023 JO - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) DO - 10.1109/cvpr52729.2023.00386 UR - https://doi.org/10.1109/cvpr52729.2023.00386 ER -
APA
Li, B., Schmidt, M. N., Alstrøm, T. S., & Stich, S. U. (2023). On the Effectiveness of Partial Variance Reduction in Federated Learning with Heterogeneous Data. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). https://doi.org/10.1109/cvpr52729.2023.00386
Source records
- crossref · retrieved 2026-11-07T11:19:16.518Z