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01/19/2022
GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
Video analytics pipelines have steadily shifted to edge deployments to r...
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12/19/2020
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
Video analytics applications use edge compute servers for the analytics ...
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06/17/2020
Visor: Privacy-Preserving Video Analytics as a Cloud Service
Video-analytics-as-a-service is becoming an important offering for cloud...
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07/31/2019
Machine Learning at the Network Edge: A Survey
Devices comprising the Internet of Things, such as sensors and small cam...
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06/05/2019
Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models
Reducing the latency variance in machine learning inference is a key req...
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04/27/2019
Collage Inference: Tolerating Stragglers in Distributed Neural Network Inference using Coding
MLaaS (ML-as-a-Service) offerings by cloud computing platforms are becom...
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11/03/2018
ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale
The deployment of large camera networks for video analytics is an establ...
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09/07/2018
Scaling Video Analytics Systems to Large Camera Deployments
New computer vision techniques, which enable accurate extraction of insi...
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01/10/2018