Towards federated learning for face recognition: a comprehensive review of secure and privacy-preserving techniques and prospective research.
- DOI
- 10.1007/s10044-026-01766-0
- Published
- 2026
- Container
- Pattern analysis and applications : PAA
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 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:10.1007/s10044-026-01766-0,
title = {Towards federated learning for face recognition: a comprehensive review of secure and privacy-preserving techniques and prospective research.},
author = {Muhammed A and Marcos J and Gonçalves N},
year = {2026},
journal = {Pattern analysis and applications : PAA},
doi = {10.1007/s10044-026-01766-0},
url = {https://doi.org/10.1007/s10044-026-01766-0}
}RIS
TY - JOUR TI - Towards federated learning for face recognition: a comprehensive review of secure and privacy-preserving techniques and prospective research. AU - Muhammed A AU - Marcos J AU - Gonçalves N PY - 2026 JO - Pattern analysis and applications : PAA DO - 10.1007/s10044-026-01766-0 UR - https://doi.org/10.1007/s10044-026-01766-0 ER -
APA
A, M., J, M., & N, G. (2026). Towards federated learning for face recognition: a comprehensive review of secure and privacy-preserving techniques and prospective research.. Pattern analysis and applications : PAA. https://doi.org/10.1007/s10044-026-01766-0
Source records
- pubmed · retrieved 2026-09-25T11:09:07.684Z