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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 1251–1279 of 1279 papers

TitleStatusHype
Brain-Inspired Hyperdimensional Computing: How Thermal-Friendly for Edge Computing?—0
Brain-Inspired Online Adaptation for Remote Sensing with Spiking Neural Network—0
Bringing AI To Edge: From Deep Learning's Perspective—0
Bringing RGB and IR Together: Hierarchical Multi-Modal Enhancement for Robust Transmission Line Detection—0
C2FDrone: Coarse-to-Fine Drone-to-Drone Detection using Vision Transformer Networks—0
Cache-Aided NOMA Mobile Edge Computing: A Reinforcement Learning Approach—0
Cache-assisted Mobile Edge Computing over Space-Air-Ground Integrated Networks for Extended Reality Applications—0
Caching and Computation Offloading in High Altitude Platform Station (HAPS) Assisted Intelligent Transportation Systems—0
Canoe : A System for Collaborative Learning for Neural Nets—0
Causal Semantic Communication for Digital Twins: A Generalizable Imitation Learning Approach—0
CGRA4ML: A Framework to Implement Modern Neural Networks for Scientific Edge Computing—0
Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing—0
Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation—0
Closed-Form Delay-Optimal Computation Offloading in Mobile Edge Computing Systems—0
Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous Vehicles—0
Cloud-Based Interoperability in Residential Energy Systems—0
Cloud Computing Energy Consumption Prediction Based on Kernel Extreme Learning Machine Algorithm Improved by Vector Weighted Average Algorithm—0
CloudEye: A New Paradigm of Video Analysis System for Mobile Visual Scenarios—0
Cloud-Magnetic Resonance Imaging System: In the Era of 6G and Artificial Intelligence—0
Cloud Platforms for Developing Generative AI Solutions: A Scoping Review of Tools and Services—0
Clustered Scheduling and Communication Pipelining For Efficient Resource Management Of Wireless Federated Learning—0
COBRA: Algorithm-Architecture Co-optimized Binary Transformer Accelerator for Edge Inference—0
Coded Computing for Federated Learning at the Edge—0
Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks—0
Coded Stochastic ADMM for Decentralized Consensus Optimization with Edge Computing—0
Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation—0
Collaborative Cloud and Edge Mobile Computing in C-RAN Systems with Minimal End-to-End Latency—0
Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge—0
Combinatorial Reinforcement Learning Based Scheduling for DNN Execution on Edge—0
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