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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 676–700 of 1279 papers

TitleStatusHype
EnergyShield: Provably-Safe Offloading of Neural Network Controllers for Energy Efficiency—0
Enhance Local Consistency in Federated Learning: A Multi-Step Inertial Momentum Approach—0
On Achieving Privacy-Preserving State-of-the-Art Edge Intelligence—0
Differentially Private Deep Q-Learning for Pattern Privacy Preservation in MEC Offloading—0
Intelligent Proactive Fault Tolerance at the Edge through Resource Usage Prediction—0
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey—0
LesionAid: Vision Transformers-based Skin Lesion Generation and Classification—0
Energy-Efficient Vehicular Edge Computing with One-by-one Access Scheme—0
Scheduling Inference Workloads on Distributed Edge Clusters with Reinforcement Learning—0
SMDP-Based Dynamic Batching for Efficient Inference on GPU-Based Platforms—0
V2N Service Scaling with Deep Reinforcement Learning—0
Anticipate, Ensemble and Prune: Improving Convolutional Neural Networks via Aggregated Early Exits—0
Time-sensitive Learning for Heterogeneous Federated Edge Intelligence—0
PCBDet: An Efficient Deep Neural Network Object Detection Architecture for Automatic PCB Component Detection on the Edge—0
Resource Optimization for Semantic-Aware Networks with Task Offloading—0
HiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association—0
Optimization of the energy efficiency in Smart Internet of Vehicles assisted by MEC—0
Marine IoT Systems with Space-Air-Sea Integrated Networks: Hybrid LEO and UAV Edge Computing—0
Energy Disaggregation & Appliance Identification in a Smart Home: Transfer Learning enables Edge Computing—0
SAFEMYRIDES: Application of Decentralized Control Edge-Computing to Ridesharing Monitoring Services—0
In-situ monitoring additive manufacturing process with AI edge computing—0
FedICT: Federated Multi-task Distillation for Multi-access Edge ComputingCode0
Accuracy-Guaranteed Collaborative DNN Inference in Industrial IoT via Deep Reinforcement Learning—0
How to Share: Balancing Layer and Chain Sharing in Industrial Microservice Deployment—0
Need of 6G for the Metaverse Realization—0
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