Clifti-GPT: privacy-preserving federated fine-tuning and transferable inference of foundation models on clinical single-cell data.
- DOI
- 10.1186/s13040-026-00582-w
- Published
- 2026 Aug 5
- Container
- BioData mining
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s13040-026-00582-w,
title = {Clifti-GPT: privacy-preserving federated fine-tuning and transferable inference of foundation models on clinical single-cell data.},
author = {Bakhtiari M and Elkjaer ML and Can AO and Theis F and Oubounyt M and Baumbach J},
year = {2026},
journal = {BioData mining},
doi = {10.1186/s13040-026-00582-w},
url = {https://doi.org/10.1186/s13040-026-00582-w}
}RIS
TY - JOUR TI - Clifti-GPT: privacy-preserving federated fine-tuning and transferable inference of foundation models on clinical single-cell data. AU - Bakhtiari M AU - Elkjaer ML AU - Can AO AU - Theis F AU - Oubounyt M AU - Baumbach J PY - 2026 JO - BioData mining DO - 10.1186/s13040-026-00582-w UR - https://doi.org/10.1186/s13040-026-00582-w ER -
APA
M, B., ML, E., AO, C., F, T., M, O., & J, B. (2026). Clifti-GPT: privacy-preserving federated fine-tuning and transferable inference of foundation models on clinical single-cell data.. BioData mining. https://doi.org/10.1186/s13040-026-00582-w
Source records
- pubmed · retrieved 2026-09-26T05:31:55.596Z