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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 451–475 of 1279 papers

TitleStatusHype
A learning-based solution approach to the application placement problem in mobile edge computing under uncertainty—0
Distributed Multi-Objective Dynamic Offloading Scheduling for Air-Ground Cooperative MEC—0
Uncertainty Estimation in Multi-Agent Distributed Learning for AI-Enabled Edge Devices—0
FieldNet: Efficient Real-Time Shadow Removal for Enhanced Vision in Field Robotics—0
Digital Twin-assisted Reinforcement Learning for Resource-aware Microservice Offloading in Edge Computing—0
Edge Information Hub: Orchestrating Satellites, UAVs, MEC, Sensing and Communications for 6G Closed-Loop Controls—0
Optimal Policy Sparsification and Low Rank Decomposition for Deep Reinforcement Learning—0
Enhancing Automatic Modulation Recognition for IoT Applications Using Transformers—0
Edge-based Parametric Digital Twins for Intelligent Building Indoor Climate Modeling—0
Architectural Blueprint For Heterogeneity-Resilient Federated Learning—0
Maximizing Energy Charging for UAV-assisted MEC Systems with SWIPT—0
Training Machine Learning models at the Edge: A Survey—0
DOCTOR: Dynamic On-Chip Temporal Variation Remediation Toward Self-Corrected Photonic Tensor AcceleratorsCode0
Leveraging Federated Learning and Edge Computing for Recommendation Systems within Cloud Computing Networks—0
STAR-RIS Assisted Wireless-Powered and Backscattering Mobile Edge Computing Networks—0
Resilience of Entropy Model in Distributed Neural NetworksCode0
Edge Computing Enabled Real-Time Video Analysis via Adaptive Spatial-Temporal Semantic Filtering—0
CollaFuse: Navigating Limited Resources and Privacy in Collaborative Generative AICode0
Oil Spill Drone: A Dataset of Drone-Captured, Segmented RGB Images for Oil Spill Detection in Port Environments—0
MedAide: Leveraging Large Language Models for On-Premise Medical Assistance on Edge Devices—0
Computational Offloading in Semantic-Aware Cloud-Edge-End Collaborative Networks—0
The Fusion of Deep Reinforcement Learning and Edge Computing for Real-time Monitoring and Control Optimization in IoT Environments—0
Multiple Access in the Era of Distributed Computing and Edge Intelligence—0
DART: Depth-Enhanced Accurate and Real-Time Background Matting—0
Streaming IoT Data and the Quantum Edge: A Classic/Quantum Machine Learning Use Case—0
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