There is a growing need to execute Machine Learning models on edge devices to reduce latency, preserve privacy, and enable new interactive use cases.[...]The PyTorch Mobile runtime beta release allows you to seamlessly go from training a model to deploying it, while staying entirely within the PyTorch ecosystem. It provides an end-to-end workflow that simplifies the research to production environment for mobile devices. In addition, it paves the way for privacy-preserving features via federated learning techniques.
