Cargando…
Differentially private multivariate time series forecasting of aggregated human mobility with deep learning: Input or gradient perturbation?
This paper investigates the problem of forecasting multivariate aggregated human mobility while preserving the privacy of the individuals concerned. Differential privacy, a state-of-the-art formal notion, has been used as the privacy guarantee in two different and independent steps when training dee...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer London
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9162903/ https://www.ncbi.nlm.nih.gov/pubmed/35677085 http://dx.doi.org/10.1007/s00521-022-07393-0 |