Kristopher Kersten

According to our database, Kristopher Kersten authored at least 3 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Empowering Federated Learning for Massive Models with NVIDIA FLARE.

Holger R. Roth, Ziyue Xu, Yuan-Ting Hsieh, Adithya Renduchintala, Isaac Yang, Zhihong Zhang, Yuhong Wen, Sean Yang, Kevin Lu, Kristopher Kersten, Camir Ricketts, Daguang Xu, Chester Chen, Yan Cheng, Andrew Feng

CoRR, 2024

2023

NVIDIA FLARE: Federated Learning from Simulation to Real-World.

Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng

IEEE Data Eng. Bull., 2023

2022

Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals.

Le Peng, Gaoxiang Luo, Andrew Walker, Zachary Zaiman, Emma K. Jones, Hemant Gupta, Kristopher Kersten, John L. Burns, Christopher A. Harle, Tanja Magoc, Benjamin Shickel, Scott D. Steenburg, Tyler J. Loftus, Genevieve B. Melton, Judy Wawira Gichoya, Ju Sun, Christopher J. Tignanelli

J. Am. Medical Informatics Assoc., 2022