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...

Descripción completa

Detalles Bibliográficos
Autores principales: Hao, Mingchao, Wu, Wanqing, Wan, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920751/
https://www.ncbi.nlm.nih.gov/pubmed/36772155
http://dx.doi.org/10.3390/s23031115

Ejemplares similares