2 papers
cs.CV2025
Transformer-based Models to Deal with Heterogeneous Environments in Human Activity Recognition
Sannara EK, François Portet, Philippe Lalanda
Human Activity Recognition (HAR) on mobile devices has been demonstrated to be possible using neural models trained on data collected from the device's inertial measurement units.…
cs.LG2025
FedAli: Personalized Federated Learning Alignment with Prototype Layers for Generalized Mobile Services
Sannara Ek, Kaile Wang, François Portet +2
Personalized Federated Learning (PFL) enables distributed training on edge devices, allowing models to collaboratively learn global patterns while tailoring their parameters to bet…