Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Privacy Technology to Support Data Sharing for Comparative Effectiveness Research
33
Zitationen
3
Autoren
2013
Jahr
Abstract
State-of-the-art privacy-preserving technologies can guide the development of practical tools that will scale up the CER studies of the future. However, many challenges remain in this fast moving field in terms of practical evaluations and applications to a wider range of data types.
Ähnliche Arbeiten
k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
2002 · 8.423 Zit.
Calibrating Noise to Sensitivity in Private Data Analysis
2006 · 6.926 Zit.
Deep Learning with Differential Privacy
2016 · 5.659 Zit.
Federated Machine Learning
2019 · 5.635 Zit.
Communication-Efficient Learning of Deep Networks from Decentralized\n Data
2016 · 5.602 Zit.