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Found 4 papers, 1 papers with code
FLea: Improving federated learning on scarce and label-skewed data via privacy-preserving feature augmentation
\textit{FLea} leverages a novel way of combining local and shared features as augmentations to enhance local model learning.
Cross-device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection
In this paper, we propose FedLoss, a novel cross-device FL framework for health diagnostics.
Continual and Sliding Window Release for Private Empirical Risk Minimization
One version of the algorithm uses the entire data history to improve the model for the recent window.
Heterogeneous Interventions Reduce the Spread of COVID-19 in Simulations on Real Mobility Data
Major interventions have been introduced worldwide to slow down the spread of the SARS-CoV-2 virus.
Social and Information Networks Physics and Society
