Edge Intelligence
We build edge-first systems to mitigate privacy and latency issues. We conduct research to define methodologies for compression (i.e., quantization, pruning), distribution (federated learning), and deployment (over-the-air protocols) of artificial intelligence models in low-power, low-computational-capacity devices.