Author

Andrea Luna

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Preprint Jul 2026

FedAvg for HAR: Exploring the Tradeoff Between Personalized and Generalization Accuracy

Experimental results of the FedAvg algorithm applied to the Human Activity Recognition domain show that, although FedAvg confirms a higher degree of personalization capabilities while keeping a high degree of generalization with respect to the traditional centralized learning, this result is not so obvious under stress...

Andrea Luna, Susanna Peretti, C. Contoli et al. · 0 citations