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Towards Causal Physical Error Discovery in Video Analytics Systems
Video analytics systems based on deep learning models are often opaque and brittle and require explanation systems to help users debug.
ServeFlow: A Fast-Slow Model Architecture for Network Traffic Analysis
ServeFlow is able to make inferences on 76. 3% of flows in under 16ms, which is a speed-up of 40. 5x on the median end-to-end serving latency while increasing the service rate and maintaining similar accuracy.
EdgeServe: A Streaming System for Decentralized Model Serving
The relevant features for a machine learning task may arrive as one or more continuous streams of data.
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