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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 201–225 of 1279 papers

TitleStatusHype
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models—0
Dynamic Pricing for On-Demand DNN Inference in the Edge-AI Market—0
Malware Detection at the Edge with Lightweight LLMs: A Performance Evaluation—0
Ecomap: Sustainability-Driven Optimization of Multi-Tenant DNN Execution on Edge Servers—0
Cloud Computing Energy Consumption Prediction Based on Kernel Extreme Learning Machine Algorithm Improved by Vector Weighted Average Algorithm—0
Multi-Agent DRL for Queue-Aware Task Offloading in Hierarchical MEC-Enabled Air-Ground Networks—0
DILEMMA: Joint LLM Quantization and Distributed LLM Inference Over Edge Computing Systems—0
LLMs are everywhere: Ubiquitous Utilization of AI Models through Air Computing—0
Research on Edge Computing and Cloud Collaborative Resource Scheduling Optimization Based on Deep Reinforcement Learning—0
DFDT: Dynamic Fast Decision Tree for IoT Data Stream Mining on Edge Devices—0
InTec: integrated things-edge computing: a framework for distributing machine learning pipelines in edge AI systemsCode0
Pulmonary Tuberculosis Edge Diagnosis System Based on MindSpore Framework: Low-cost and High-precision Implementation with Ascend 310 Chip—0
SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning—0
A Hybrid Edge Classifier: Combining TinyML-Optimised CNN with RRAM-CMOS ACAM for Energy-Efficient Inference—0
AT-Drone: Benchmarking Adaptive Teaming in Multi-Drone Pursuit—0
FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Edge DevicesCode0
Generative AI-Enhanced Cooperative MEC of UAVs and Ground Stations for Unmanned Surface Vehicles—0
UAV-assisted Joint Mobile Edge Computing and Data Collection via Matching-enabled Deep Reinforcement Learning—0
Exploring Neural Network Pruning with Screening Methods—0
A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems—0
Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures—0
Graph Federated Learning Based Proactive Content Caching in Edge Computing—0
Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges—0
KHAIT: K-9 Handler Artificial Intelligence Teaming for Collaborative Sensemaking—0
The M-factor: A Novel Metric for Evaluating Neural Architecture Search in Resource-Constrained Environments—0
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