CurvFed: Curvature-Aligned Federated Learning for Fairness without Demographics
- DOI
- 10.48550/arxiv.2404.19725
- Published
- 2024
- Container
- Not recorded
- Publisher
- arXiv
- Open access
- no
Credibility signals
limited evidence Score 41/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.48550/arxiv.2404.19725,
title = {CurvFed: Curvature-Aligned Federated Learning for Fairness without Demographics},
author = {Roy, Shaily and Sharma, Harshit and Salekin, Asif},
year = {2024},
doi = {10.48550/arxiv.2404.19725},
url = {https://doi.org/10.48550/arxiv.2404.19725}
}RIS
TY - JOUR TI - CurvFed: Curvature-Aligned Federated Learning for Fairness without Demographics AU - Roy, Shaily AU - Sharma, Harshit AU - Salekin, Asif PY - 2024 DO - 10.48550/arxiv.2404.19725 UR - https://doi.org/10.48550/arxiv.2404.19725 ER -
APA
Shaily, R., Harshit, S., & Asif, S. (2024). CurvFed: Curvature-Aligned Federated Learning for Fairness without Demographics. https://doi.org/10.48550/arxiv.2404.19725
Source records
- datacite · retrieved 2026-09-26T03:53:34.071Z