Edge Computing

Biosignals exhibit substantial cross-subject and cross-session variability, inducing severe domain shifts that degrade post-deployment performance for small, edge-oriented AI models. On-device adaptation is therefore essential to both preserve user …

On-device neural network tuning is essential for adapting pre-trained models to individual users and environments while preserving data privacy. However, ultra-low-power edge devices face significant computational and memory constraints that make …