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Edge-computing

Deep Learning on EDGE devices

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Showing 626–650 of 1279 papers

TitleStatusHype
Joint Optimization of the Deployment and Resource Allocation of UAVs in Vehicular Edge Computing and Networks—0
Joint Resource Management for Energy-efficient UAV-assisted SWIPT-MEC: A Deep Reinforcement Learning Approach—0
Joint Resource Optimization, Computation Offloading and Resource Slicing for Multi-Edge Traffic-Cognitive Networks—0
Joint Semantic Transmission and Resource Allocation for Intelligent Computation Task Offloading in MEC Systems—0
Joint Service Caching, Communication and Computing Resource Allocation in Collaborative MEC Systems: A DRL-based Two-timescale Approach—0
Joint Task Offloading and Resource Allocation for IoT Edge Computing with Sequential Task Dependency—0
Joint Task Offloading and Resource Allocation in Aerial-Terrestrial UAV Networks with Edge and Fog Computing for Post-Disaster Rescue—0
Joint User Scheduling and Computing Resource Allocation Optimization in Asynchronous Mobile Edge Computing Networks—0
Jupiter: Fast and Resource-Efficient Collaborative Inference of Generative LLMs on Edge Devices—0
KHAIT: K-9 Handler Artificial Intelligence Teaming for Collaborative Sensemaking—0
KHRONOS: a Kernel-Based Neural Architecture for Rapid, Resource-Efficient Scientific Computation—0
Knowledge Distillation for Reservoir-based Classifier: Human Activity Recognition—0
Knowledge-Driven Multi-Agent Reinforcement Learning for Computation Offloading in Cybertwin-Enabled Internet of Vehicles—0
Kolmogorov-Smirnov Test-Based Actively-Adaptive Thompson Sampling for Non-Stationary Bandits—0
Koopman based trajectory model and computation offloading for high mobility paradigm in ISAC enabled IoT system—0
KubeEdge.AI: AI Platform for Edge Devices—0
LabelSens: Enabling Real-time Sensor Data Labelling at the point of Collection on Edge Computing—0
LAMBO: Large AI Model Empowered Edge Intelligence—0
LaMI-GO: Latent Mixture Integration for Goal-Oriented Communications Achieving High Spectrum Efficiency—0
Latency and Energy Minimization in NOMA-Assisted MEC Network: A Federated Deep Reinforcement Learning Approach—0
Latency Minimization for Intelligent Reflecting Surface Aided Mobile Edge Computing—0
Latency Minimization for mmWave D2D Mobile Edge Computing Systems: Joint Task Allocation and Hybrid Beamforming Design—0
Latency Minimization for Movable Antennas-Enabled Relay-aided D2D Mobile Edge Computing Communication Systems—0
Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing—0
Latency optimized Deep Neural Networks (DNNs): An Artificial Intelligence approach at the Edge using Multiprocessor System on Chip (MPSoC)—0
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