Search Results for author: Ted Shaowang

Found 2 papers, 0 papers with code

ServeFlow: A Fast-Slow Model Architecture for Network Traffic Analysis

no code implementations6 Feb 2024 Shinan Liu, Ted Shaowang, Gerry Wan, Jeewon Chae, Jonatas Marques, Sanjay Krishnan, Nick Feamster

We identify that on the same task, inference time across models can differ by 2. 7x-136. 3x, while the median inter-packet waiting time is often 6-8 orders of magnitude higher than the inference time!

EdgeServe: A Streaming System for Decentralized Model Serving

no code implementations2 Mar 2023 Ted Shaowang, Sanjay Krishnan

The relevant features for a machine learning task may arrive as one or more continuous streams of data.

Autonomous Driving Human Activity Recognition +2

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