Our group at UChicago works on two broad themes:
(1) Designing and developing networked systems for ML. One example is building networked/edge systems to support accurate yet resource-efficient video analytics.
(2) Applying state-of-the-art ML to drastically improve performance of networked systems. One example is using computer vision techniques to improve system resource sharing of video streaming, web services and other applications.