A Robust Pipeline for Differentially Private Federated Learning on Imbalanced Clinical Data using SMOTETomek and FedProx
- DOI
- 10.48550/arxiv.2508.10017
- Published
- 2025
- Container
- Not recorded
- Publisher
- arXiv
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.48550/arxiv.2508.10017,
title = {A Robust Pipeline for Differentially Private Federated Learning on Imbalanced Clinical Data using SMOTETomek and FedProx},
author = {Tertulino, Rodrigo},
year = {2025},
doi = {10.48550/arxiv.2508.10017},
url = {https://doi.org/10.48550/arxiv.2508.10017}
}RIS
TY - JOUR TI - A Robust Pipeline for Differentially Private Federated Learning on Imbalanced Clinical Data using SMOTETomek and FedProx AU - Tertulino, Rodrigo PY - 2025 DO - 10.48550/arxiv.2508.10017 UR - https://doi.org/10.48550/arxiv.2508.10017 ER -
APA
Rodrigo, T. (2025). A Robust Pipeline for Differentially Private Federated Learning on Imbalanced Clinical Data using SMOTETomek and FedProx. https://doi.org/10.48550/arxiv.2508.10017
Source records
- datacite · retrieved 2026-11-11T00:10:02.895Z