CA-DNNEdge: Compute-aware Deep Neural Networks on the Edge

The goal of CA-DNNEdge is to develop on-device small footprint algorithms that perform reliable inference with low-latency and high compute efficiency on resource-constrained hardware platforms. To achieve this goal, we are developing brain-inspired deep network architectures that are compute-aware and that also enable continual learning on these hardware platforms for new environments and tasks.