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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 876–900 of 1279 papers

TitleStatusHype
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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