Real-world federated learning in radiology: hurdles to overcome and benefits to gain

Federated Learning (FL) enables collaborative model training while keeping data locally. Currently, most FL studies in radiology are conducted in simulated environments due to numerous hurdles impeding its translation into practice. The few existing real-world FL initiatives rarely communicate speci...

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Veröffentlicht in:	Journal of the American Medical Informatics Association : JAMIA 2024-10
Hauptverfasser:	Bujotzek, Markus Ralf, Akünal, Ünal, Denner, Stefan, Neher, Peter, Zenk, Maximilian, Frodl, Eric, Jaiswal, Astha, Kim, Moon, Krekiehn, Nicolai R, Nickel, Manuel, Ruppel, Richard, Both, Marcus, Döllinger, Felix, Opitz, Marcel, Persigehl, Thorsten, Kleesiek, Jens, Penzkofer, Tobias, Maier-Hein, Klaus, Bucher, Andreas, Braren, Rickmer
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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