An open-source Flower-based federated learning baseline for fitness tracking, plus a case study showing client-side early stopping cuts communication 13% with a 1% F1 drop.
Learning from others without sacrificing privacy: Simulation comparing centralized and federated machine learning on mobile health data.JMIR mHealth and uHealth, 9(3):e23728, 2021
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FedFitTech: A Baseline in Federated Learning for Fitness Tracking
An open-source Flower-based federated learning baseline for fitness tracking, plus a case study showing client-side early stopping cuts communication 13% with a 1% F1 drop.