Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Specifications for the Routine Implementation of Federated Learning in Hospitals Networks
3
Zitationen
6
Autoren
2021
Jahr
Abstract
We collected user needs to define a process for setting up Federated Learning in a network of hospitals. We identified seven steps: consortium definition, architecture implementation, clinical study definition, data collection, initialization, model training and results sharing. This process adapts certain steps from the classical centralized multicenter framework and brings new opportunities for interaction thanks to the architecture of the Federated Learning algorithms. It is open for completion to cover a variety of scenarios.
Ähnliche Arbeiten
k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
2002 · 8.402 Zit.
Calibrating Noise to Sensitivity in Private Data Analysis
2006 · 6.898 Zit.
Deep Learning with Differential Privacy
2016 · 5.629 Zit.
Communication-Efficient Learning of Deep Networks from Decentralized\n Data
2016 · 5.595 Zit.
Federated Machine Learning
2019 · 5.588 Zit.