arxivcs.LGcs.AI2026-07-03
FedAvg for HAR: Exploring the Tradeoff Between Personalized and Generalization Accuracy
Andrea De Luna, Susanna Peretti, Chiara Contoli, Alessandro Bogliolo
The federated learning (FL) paradigm fosters distributed pervasive computing combined with artificial intelligence techniques, allowing for optimized data usage and improved mitigation of privacy concerns. Indeed, model training occurs on the client's local devices, and model par…