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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 201–250 of 1279 papers

TitleStatusHype
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models—0
Cloud Computing Energy Consumption Prediction Based on Kernel Extreme Learning Machine Algorithm Improved by Vector Weighted Average Algorithm—0
Ecomap: Sustainability-Driven Optimization of Multi-Tenant DNN Execution on Edge Servers—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
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
A Hybrid Edge Classifier: Combining TinyML-Optimised CNN with RRAM-CMOS ACAM for Energy-Efficient Inference—0
SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning—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
Vehicular Multi-Tier Distributed Computing with Hybrid THz-RF Transmission in Satellite-Terrestrial Integrated Networks—0
Bringing RGB and IR Together: Hierarchical Multi-Modal Enhancement for Robust Transmission Line Detection—0
Reinforcement Learning Controlled Adaptive PSO for Task Offloading in IIoT Edge ComputingCode0
Enhancing Disaster Resilience with UAV-Assisted Edge Computing: A Reinforcement Learning Approach to Managing Heterogeneous Edge Devices—0
Efficient Implementation of LinearUCB through Algorithmic Improvements and Vector Computing Acceleration for Embedded Learning Systems—0
Personalized Federated Learning for Cellular VR: Online Learning and Dynamic Caching—0
Secure Resource Allocation via Constrained Deep Reinforcement Learning—0
Efficient Transmission of Radiomaps via Physics-Enhanced Semantic Communications—0
Over-the-Air Multi-Sensor Inference with Neural Networks Using Memristor-Based Analog Computing—0
Detecting Wildfire Flame and Smoke through Edge Computing using Transfer Learning Enhanced Deep Learning Models—0
Self-Organizing Edge Computing Distribution Framework for Visual SLAM—0
A neuromorphic camera for tracking passive and active matter with lower data throughput—0
Task Delay and Energy Consumption Minimization for Low-altitude MEC via Evolutionary Multi-objective Deep Reinforcement Learning—0
Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation—0
Intelligent Task Offloading: Advanced MEC Task Offloading and Resource Management in 5G Networks—0
A Multi-task Supervised Compression Model for Split ComputingCode0
Privacy-Aware Multi-Device Cooperative Edge Inference with Distributed Resource Bidding—0
Blockchain-Empowered Cyber-Secure Federated Learning for Trustworthy Edge Computing—0
Retrieval-Augmented Generation for Mobile Edge Computing via Large Language Model—0
Advanced Knowledge Transfer: Refined Feature Distillation for Zero-Shot Quantization in Edge ComputingCode0
Efficient Detection Framework Adaptation for Edge Computing: A Plug-and-play Neural Network Toolbox Enabling Edge DeploymentCode0
tuGEMM: Area-Power-Efficient Temporal Unary GEMM Architecture for Low-Precision Edge AI—0
Learning for Cross-Layer Resource Allocation in MEC-Aided Cell-Free Networks—0
A Tutorial on Non-Terrestrial Networks: Towards Global and Ubiquitous 6G Connectivity—0
Theory of Mixture-of-Experts for Mobile Edge Computing—0
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