Advancing Machine Learning for Resource-Constrained Environments
This dissertation addresses the fundamental challenge of enabling machine learning intelligence on resource-constrained systems. These systems include embedded edge devices, mobile platforms, and robots operating under both on-device and cloud-based paradigms. The resource-constrained systems must perform low-latency,...