11-767 On-Device Machine Learning

On-Device Machine Learning is a project-based course covering how to build, train, and deploy models that can run on low-power devices (e.g. The course will cover advances topics on distillation, quantization, weight imprinting, power calculation and more. Every week we will discuss a new research paper and area in this space one day, and have a lab working-group the second. Specifically, students will be provided with low-power compute hardware (e.g. The project will involve three components for building low-power multimodal models: (1) inference (2) performing training/updates for interactive ML, and (3) maximizing power.