Description
Date depot: 19 février 2019
Titre: Privacy-preserving machine learning techniques
Directrice de thèse:
Melek ONEN (Eurecom)
Domaine scientifique: Sciences et technologies de l'information et de la communication
Thématique CNRS : Non defini
Resumé:
The recent technology developments
enable millions of people to collect and share data on a massive scale. Such
data allow deriving relevant information about people through advanced
analytics such as statistical analysis or machine learning. The analytical
findings can help companies improve their customer services, or hospitals
identify patterns based on patients’ historical data and come up with early
treatments.
Doctorant.e: Bozdemir Beyza