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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 851–900 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
An Optimization Framework for Federated Edge Learning—0
Edge Computing and Communication for Energy-Efficient Earth Surveillance with LEO Satellites—0
A Parameter Aggregation Strategy on Personalized Federated Learning—0
A Data Quarantine Model to Secure Data in Edge Computing—0
Attentive Federated Learning for Concept Drift in Distributed 5G Edge NetworksCode0
Federated Learning with Hyperparameter-based Clustering for Electrical Load Forecasting—0
FedGreen: Federated Learning with Fine-Grained Gradient Compression for Green Mobile Edge Computing—0
Rethinking Deconvolution for 2D Human Pose Estimation Light yet Accurate Model for Real-time Edge Computing—0
A Comparative Analysis of Machine Learning Algorithms for Intrusion Detection in Edge-Enabled IoT Networks—0
To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices—0
Energy-efficient Cooperative Offloading for Edge Computing-enabled Vehicular Networks—0
ILMPQ : An Intra-Layer Multi-Precision Deep Neural Network Quantization framework for FPGA—0
Pipeline Parallelism for Inference on Heterogeneous Edge Computing—0
Optimization-Based GenQSGD for Federated Edge Learning—0
A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments—0
Joint Task Offloading and Resource Allocation for IoT Edge Computing with Sequential Task Dependency—0
Physical Side-Channel Attacks on Embedded Neural Networks: A Survey—0
Distributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching—0
FedParking: A Federated Learning based Parking Space Estimation with Parked Vehicle assisted Edge Computing—0
Sim-to-Real Transfer in Multi-agent Reinforcement Networking for Federated Edge Computing—0
BEV-SGD: Best Effort Voting SGD for Analog Aggregation Based Federated Learning against Byzantine Attackers—0
Energon: Towards Efficient Acceleration of Transformers Using Dynamic Sparse Attention—0
A Deep Learning-based Approach for Real-time Facemask Detection—0
Nothing Wasted: Full Contribution Enforcement in Federated Edge Learning—0
EdgeML: Towards Network-Accelerated Federated Learning over Wireless Edge—0
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