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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 851–875 of 1279 papers

TitleStatusHype
EdgeMap: CrowdSourcing High Definition Map in Automotive Edge Computing—0
Towards Energy Efficient Distributed Federated Learning for 6G Networks—0
Hardware-Efficient Deconvolution-Based GAN for Edge ComputingCode0
Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing—0
Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular NetworkCode0
SmartDet: Context-Aware Dynamic Control of Edge Task Offloading for Mobile Object Detection—0
LoMar: A Local Defense Against Poisoning Attack on Federated Learning—0
Interference Aware Cooperative Routing for Edge Computing-enabled 5G Networks—0
Supervised Learning based QoE Prediction of Video Streaming in Future Networks: A Tutorial with Comparative Study—0
Socially-Optimal Mechanism Design for Incentivized Online Learning—0
Edge Robotics: Edge-Computing-Accelerated Multi-Robot Simultaneous Localization and Mapping—0
Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See" More, Farther and Faster—0
Decentralized Task Offloading in Edge Computing: A Multi-User Multi-Armed Bandit Approach—0
On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge—0
Dynamic Edge Computing empowered by Reconfigurable Intelligent Surfaces—0
Task-Oriented Image Transmission for Scene Classification in Unmanned Aerial Systems—0
Offloading Algorithms for Maximizing Inference Accuracy on Edge Device Under a Time Constraint—0
Learning for Robust Combinatorial Optimization: Algorithm and Application—0
Event Based Time-Vectors for auditory features extraction: a neuromorphic approach for low power audio recognition—0
Efficient Differentially Private Secure Aggregation for Federated Learning via Hardness of Learning with Errors—0
Edge-Compatible Reinforcement Learning for Recommendations—0
Illumination and Temperature-Aware Multispectral Networks for Edge-Computing-Enabled Pedestrian Detection—0
A New Look at AI-Driven NOMA-F-RANs: Features Extraction, Cooperative Caching, and Cache-Aided Computing—0
HRNET: AI on Edge for mask detection and social distancingCode0
Roadmap for Edge AI: A Dagstuhl Perspective—0
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