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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 826–850 of 1279 papers

TitleStatusHype
On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge—0
Learning for Robust Combinatorial Optimization: Algorithm and Application—0
MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing SystemsCode1
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
PreGAN: Preemptive Migration Prediction Network for Proactive Fault-Tolerant Edge ComputingCode1
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
Federated Learning with Hyperparameter-based Clustering for Electrical Load Forecasting—0
Attentive Federated Learning for Concept Drift in Distributed 5G Edge NetworksCode0
User Allocation in Mobile Edge Computing: A Deep Reinforcement Learning ApproachCode1
FedGreen: Federated Learning with Fine-Grained Gradient Compression for Green Mobile Edge Computing—0
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AICode1
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
Energy-efficient Cooperative Offloading for Edge Computing-enabled Vehicular Networks—0
To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices—0
ILMPQ : An Intra-Layer Multi-Precision Deep Neural Network Quantization framework for FPGA—0
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