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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 851–875 of 1279 papers

TitleStatusHype
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
LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks with TTFS Coding—0
Learned Spike Encoding of the Channel Response for Low-Power Environment Sensing—0
Learning-based Prediction, Rendering and Transmission for Interactive Virtual Reality in RIS-Assisted Terahertz Networks—0
Learning-based sensing and computing decision for data freshness in edge computing-enabled networks—0
Learning Centric Wireless Resource Allocation for Edge Computing: Algorithm and Experiment—0
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