Supercharging Federated Learning with Flower and NVIDIA FLARE
Holger R. Roth(Nvidia (United States)), A. S. Feng(Nvidia (United States)), Ziyue Xu(Nanchang University), Nicholas D. Lane(Dartmouth College), Yuhong Wen(Nvidia (United States)), Daguang Xu(Nvidia (United States)), Yuan-Ting Hsieh, Daniel J. Beutel(Flower Hospital), Sean Yang(Vanderbilt University Medical Center), Chester Chen, Javier Fernandez Marques(Flower Hospital), Yan Cheng(Nvidia (United States))
Cited by 3
Related Papers
Federated learning for predicting clinical outcomes in patients with COVID-19
|Nature Medicine|2021|760
MONAI: An open-source framework for deep learning in healthcare
|arXiv (Cornell University)|2022|434
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
|IEEE Transactions on Medical Imaging|2019|301
Deep learning to distinguish pancreatic cancer tissue from non-cancerous pancreatic tissue: a retrospective study with cross-racial external validation
|The Lancet Digital Health|2020|210
On-the-fly decoding luminescence lifetimes in the microsecond region for lanthanide-encoded suspension arrays
|Nature Communications|2014|168