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Hierarchical Aggregation for Numerical Data under Local Differential Privacy
The proposal of local differential privacy solves the problem that the data collector must be trusted in centralized differential privacy models. The statistical analysis of numerical data under local differential privacy has been widely studied by many scholars. However, in real-world scenarios, nu...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920751/ https://www.ncbi.nlm.nih.gov/pubmed/36772155 http://dx.doi.org/10.3390/s23031115 |