FLKit is a new toolkit with four lifecycle stages, eleven role-specific entry points, a glossary, FL Story template, and tool directory to support federated learning projects in health and life sciences.
Federated machine learning in healthcare: A systematic review on clinical applications and technical architecture
2 Pith papers cite this work. Polarity classification is still indexing.
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Scoping review of 30 papers finds that vertical methods for linear and logistic regression on partitioned health data rarely achieve equivalence to pooled analyses while also being communication-efficient and verifiably private.
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Development and Design of FLKit: A Structured Onboarding Toolkit for Federated Learning in Health and Life Sciences
FLKit is a new toolkit with four lifecycle stages, eleven role-specific entry points, a glossary, FL Story template, and tool directory to support federated learning projects in health and life sciences.