FLAM defines aggregatable performance measures for federated learning that match centralized evaluation results without requiring a global test dataset.
LightSecAgg: A Lightweight and Versatile Design for Secure Aggregation in Federated Learning
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FLAM: Evaluating Model Performance with Aggregatable Measures in Federated Learning
FLAM defines aggregatable performance measures for federated learning that match centralized evaluation results without requiring a global test dataset.