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MetaStream: Live Volumetric Content Capture, Creation, Delivery, and Rendering in Real Time
While recent work explored streaming volumetric content on-demand, there is little effort on live volumetric video streaming that bears …
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MetaStream: Live Volumetric Content Capture, Creation, Delivery, and Rendering in Real Time
Dystri: A Dynamic Inference based Distributed DNN Service Framework on Edge
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Dystri: A Dynamic Inference based Distributed DNN Service Framework on Edge
RoNet: Toward Robust Neural Assisted Mobile Network Configuration
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Atlas: Automate Online Service Configuration in Network Slicing
Network slicing achieves cost-efficient slice customization to support heterogeneous applications and services. Configuring …
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NeuLens: Spatial-based Dynamic Acceleration of Convolutional Neural Networks on Edge
Convolutional neural networks (CNNs) play an important role in mobile and edge computing systems for vision-based tasks like object …
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NeuLens: Spatial-based Dynamic Acceleration of Convolutional Neural Networks on Edge
DeepMix: Mobility-aware, Lightweight, and Hybrid 3D Object Detection for Headsets
Mobile headsets should be capable of understanding 3D physical environments to offer a truly immersive experience for augmented/mixed …
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DeepMix: Mobility-aware, Lightweight, and Hybrid 3D Object Detection for Headsets
DistrEdge: Speeding up Convolutional Neural Network Inference on Distributed Edge Devices
As the number of edge devices with computing resources (e.g., embedded GPUs, mobile phones, and laptops) in-creases, recent studies …
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DistrEdge: Speeding up Convolutional Neural Network Inference on Distributed Edge Devices
Edge Learning for Low-Latency Video Analytics: Query Scheduling and Resource Allocation
Low-latency and accuracy-guaranteed video analytics is essential to many delay-sensitive camera-based applications. Analyzing video …
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OnSlicing: Online end-to-end network slicing with reinforcement learning
Network slicing allows mobile network operators to virtualize infrastructures and provide customized slices for supporting various use …
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Constraint-Aware Deep Reinforcement Learning for End-to-End Resource Orchestration in Mobile Networks
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