Abstract: Personalized model adaptation has drawn a lot of attention in the rapidly changing fields of data science and machine learning. This paper investigates a novel strategy for enhancing model ...
Abstract: Spiking neural networks (SNNs) process information via sparse, event-driven spikes. In hardware, this sparsity can dramatically reduce the volume of data moved between memory hierarchies, ...