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CryoDiscovery™: Federated Learning as a Key Tool for Cryo-electron Microscopy Image Analysis

Published online by Cambridge University Press:  22 July 2022

Elliot Gray  and
Narasimha Kumar
Elliot Gray
Affiliation:
HTI Inc., Portland Oregon, United States.
Narasimha Kumar*
Affiliation:
HTI Inc., Portland Oregon, United States.
*
*Corresponding author: kumar@hti.ai

Abstract

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Type
On Demand - Technical Advances in Cryo-EM
Information
Microscopy and Microanalysis , Volume 28 , Supplement S1 , August 2022 , pp. 1300 - 1301
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Copyright
Copyright © Microscopy Society of America 2022

References

https://www.nobelprize.org/prizes/chemistry/2017/press-release/Google Scholar
Federated Learning: A survey. https://arxiv.org/pdf/1907.09693.pdfGoogle Scholar
Early paper on Federated Learning: https://arxiv.org/pdf/1602.05629.pdfGoogle Scholar
Detailed FL Paper: https://arxiv.org/pdf/1912.04977.pdfGoogle Scholar
Google Handwriting Recognition Blog: https://ai.googleblog.com/2017/04/federated-learning-collaborative.htmlGoogle Scholar
Google Keyboard Prediction: https://arxiv.org/pdf/1811.03604v2.pdfGoogle Scholar
NVIDIA FLARE: https://developer.nvidia.com/flareGoogle Scholar
Anthony Reina, G. et al. OpenFL: https://arxiv.org/pdf/2105.06413.pdfGoogle Scholar
The authors acknowledge help from and discussions with the NVIDIA FLARE team and the Intel FL teamGoogle Scholar