In the context of TinyML, many research efforts have been devoted to designing forward topologies to support On-Device Learning. Reaching this target would bring numerous …
This letter addresses the challenging problem of performing on-device online learning for a neural network to accomplish a regression task, under extreme memory and processing …
An interesting research challenge for the TinyML community concerns the capability to achieve accurate online incremental learning for a regression task. This without relying on …
Nowadays, the need to efficiently process information in Internet of Things (IoT)-oriented heterogeneous scenarios has increased significantly, eg, in all scenarios where unobtrusive …
TinyRCE is a hyperspherical classifier aimed at Continual Learning On-Tiny-Devices, a challenging task in which a Machine Learning model is required to learn from continuous …