1 citations · 1 across the 4 of their papers we have counts for
4 papers
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,…
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…
FlowWise: Stateful Fast-Slow Model Serving for Streaming Traffic Intelligence
Shinan Liu, Ted Shaowang, Gerry Wan +4
Network traffic analysis in cloud and internet service provider (ISP) networks increasingly relies on machine learning (ML) models, as encryption and service consolidation make rul…
EdgeServe: A Streaming System for Decentralized Model Serving
Ted Shaowang, Sanjay Krishnan
The relevant features for a machine learning task may arrive as one or more continuous streams of data. Serving machine learning models over streams of data creates a number of int…