Special Issue on integration of machine learning and edge computing for next generation of smart wearable systems

Machine learning (ML) provides an enabling technology for the development of the next generation of smart devices. However, the integration of ML and edge computing faces major challenges. While powerful models can tackle difficult tasks such as visual recognition or natural language processing, the constrained resources of embedded systems might prevent direct deployment of the designed inference function into an edge device. This Special Issue collects manuscripts describing methodologies and systems that tackle the integration of ML into embedded systems. The focus is on solutions that can stimulate significant improvements across different domains.