CADRE provides customizable data-readiness metrics, rules, remedies, and aggregated reports for privacy-preserving federated learning, demonstrated on six datasets.
The role of the data quality on model efficiency: An exploratory study on centralised and federated learning,
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CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning
CADRE provides customizable data-readiness metrics, rules, remedies, and aggregated reports for privacy-preserving federated learning, demonstrated on six datasets.