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Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals
28
Zitationen
17
Autoren
2022
Jahr
Abstract
FedAvg can significantly improve the generalization of the model compared to other personalization FL algorithms; however, at the cost of poor internal validity. Personalized FL may offer an opportunity to develop both internal and externally validated algorithms.
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Autoren
Institutionen
- University of Minnesota(US)
- Emory University(US)
- Fairview Health Services(US)
- Nvidia (United States)(US)
- Indiana University – Purdue University Indianapolis(US)
- University of Florida Health(US)
- Florida College(US)
- University of Florida(US)
- Indiana University School of Medicine
- University of Minnesota System(US)