2 papers
cs.LG2026
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.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…