Adaptive Personlization in Federated Learning for Highly Non-i.i.d. Data

Federated learning (FL) is a distributed learning method that offers medical institutes the prospect of collaboration in a global model while preserving the privacy of their patients. Although most medical centers conduct similar medical imaging tasks, their differences, such as specializations, num...

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Veröffentlicht in:	arXiv.org 2022-07
Hauptverfasser:	Yeganeh, Yousef, Farshad, Azade, Boschmann, Johann, Gaus, Richard, Frantzen, Maximilian, Navab, Nassir
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Clients Cluster analysis Clustering Electronic devices Federated learning Health care facilities Heterogeneity Medical imaging
Online-Zugang:	Volltext
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