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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 851–900 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
Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs—0
Learning for Cross-Layer Resource Allocation in MEC-Aided Cell-Free Networks—0
Learning for Robust Combinatorial Optimization: Algorithm and Application—0
Learning for Semantic Knowledge Base-Guided Online Feature Transmission in Dynamic Channels—0
Learning in Spiking Neural Networks with a Calcium-based Hebbian Rule for Spike-timing-dependent Plasticity—0
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation—0
Learning Optimal Fronthauling and Decentralized Edge Computation in Fog Radio Access Networks—0
Learning to Optimize Resource Assignment for Task Offloading in Mobile Edge Computing—0
LesionAid: Vision Transformers-based Skin Lesion Generation and Classification—0
Leveraging Federated Learning and Edge Computing for Recommendation Systems within Cloud Computing Networks—0
LiDAR-based Outdoor Crowd Management for Smart Campus on the Edge—0
LightESD: Fully-Automated and Lightweight Anomaly Detection Framework for Edge Computing—0
Lightweight Trustworthy Distributed Clustering—0
LiveMap: Real-Time Dynamic Map in Automotive Edge Computing—0
LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices—0
Load-aware Dynamic Partition of Deep Neutral Networks for Multi-User Offloading—0
LocKedge: Low-Complexity Cyberattack Detection in IoT Edge Computing—0
LoMar: A Local Defense Against Poisoning Attack on Federated Learning—0
Long-Term Conversation Analysis: Privacy-Utility Trade-off under Noise and Reverberation—0
Lossy compression of matrices by black-box optimisation of mixed integer nonlinear programming—0
Low-bit Shift Network for End-to-End Spoken Language Understanding—0
Low Precision Quantization-aware Training in Spiking Neural Networks with Differentiable Quantization Function—0
Machine Learning aided Computer Architecture Design for CNN Inferencing Systems—0
Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application—0
Machine listening in a neonatal intensive care unit—0
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