3 papers
cs.LG2025
Algorithmic Data Minimization for Machine Learning over Internet-of-Things Data Streams
Ted Shaowang, Shinan Liu, Jonatas Marques +2
Machine learning can analyze vast amounts of data generated by IoT devices to identify patterns, make predictions, and enable real-time decision-making. By processing sensor data,…
cs.CV2024
Towards Causal Physical Error Discovery in Video Analytics Systems
Jinjin Zhao, Ted Shaowang, Stavos Sintos +1
Video analytics systems based on deep learning models are often opaque and brittle and require explanation systems to help users debug. Current model explanation system are very go…
cs.NI2024
ServeFlow: A Fast-Slow Model Architecture for Network Traffic Analysis
Shinan Liu, Ted Shaowang, Gerry Wan +4
Network traffic analysis increasingly uses complex machine learning models as the internet consolidates and traffic gets more encrypted. However, over high-bandwidth networks, flow…