Homomorphic Encryption-Based Federated Privacy Preservation for Deep Active Learning

Active learning is a technique for maximizing performance of machine learning with minimal labeling effort and letting the machine automatically and adaptively select the most informative data for labeling. Since the labels on records may contain sensitive information, privacy-preserving mechanisms...

Descripción completa

Detalles Bibliográficos
Autores principales: Kurniawan, Hendra, Mambo, Masahiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689508/
https://www.ncbi.nlm.nih.gov/pubmed/36359635
http://dx.doi.org/10.3390/e24111545

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689508/
https://www.ncbi.nlm.nih.gov/pubmed/36359635
http://dx.doi.org/10.3390/e24111545

Ejemplares similares