Analysing the Influence of Attack Configurations on the Reconstruction of Medical Images in Federated Learning

The idea of federated learning is to train deep neural network models collaboratively and share them with multiple participants without exposing their private training data to each other. This is highly attractive in the medical domain due to patients' privacy records. However, a recently propo...

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Veröffentlicht in:	arXiv.org 2022-04
Hauptverfasser:	Dahlgaard, Mads Emil, Jørgensen, Morten Wehlast, Niels Asp Fuglsang, Nassar, Hiba
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Configurations Image reconstruction Machine learning Medical imaging Privacy
Online-Zugang:	Volltext
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