Enabling end-to-end secure federated learning in biomedical research on heterogeneous computing environments with APPFLx.
- DOI
- 10.1016/j.csbj.2024.12.001
- Published
- 2025
- Container
- Computational and structural biotechnology journal
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.csbj.2024.12.001,
title = {Enabling end-to-end secure federated learning in biomedical research on heterogeneous computing environments with APPFLx.},
author = {Hoang TH and Fuhrman J and Klarqvist M and Li M and Chaturvedi P and Li Z and Kim K and Ryu M and Chard R and Huerta EA and Giger M and Madduri R},
year = {2025},
journal = {Computational and structural biotechnology journal},
doi = {10.1016/j.csbj.2024.12.001},
url = {https://doi.org/10.1016/j.csbj.2024.12.001}
}RIS
TY - JOUR TI - Enabling end-to-end secure federated learning in biomedical research on heterogeneous computing environments with APPFLx. AU - Hoang TH AU - Fuhrman J AU - Klarqvist M AU - Li M AU - Chaturvedi P AU - Li Z AU - Kim K AU - Ryu M AU - Chard R AU - Huerta EA AU - Giger M AU - Madduri R PY - 2025 JO - Computational and structural biotechnology journal DO - 10.1016/j.csbj.2024.12.001 UR - https://doi.org/10.1016/j.csbj.2024.12.001 ER -
APA
TH, H., J, F., M, K., M, L., P, C., Z, L., K, K., M, R., R, C., EA, H., M, G., & R, M. (2025). Enabling end-to-end secure federated learning in biomedical research on heterogeneous computing environments with APPFLx.. Computational and structural biotechnology journal. https://doi.org/10.1016/j.csbj.2024.12.001
Source records
- pubmed · retrieved 2026-09-25T18:15:38.624Z