Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals
Journal of the American Medical Informatics Association2022Vol. 30(1), pp. 54–63
Citations Over TimeTop 10% of 2022 papers
Le Peng, Gaoxiang Luo, Andrew Walker, Zachary Zaiman, Emma Jones, Hemant Gupta, Kristopher Kersten, John L. Burns, Christopher A. Harle, Tanja Magoč, Benjamin Shickel, Scott D. Steenburg, Tyler J. Loftus, Genevieve B. Melton, Judy Wawira Gichoya, Ju Sun, Christopher J. Tignanelli
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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