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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 1051–1100 of 1279 papers

TitleStatusHype
Towards Self-learning Edge Intelligence in 6G—0
Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous Vehicles—0
Multi-Agent Deep Reinforcement Learning Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing—0
When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multi-Timescale Resource Management for Multi-access Edge Computing in 5G Ultra Dense Network—0
Delay Characterization of Mobile Edge Computing for 6G Time-Sensitive Services—0
Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning—0
MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework—0
ResNet-like Architecture with Low Hardware RequirementsCode0
Real-Time Execution of Large-scale Language Models on Mobile—0
Energy-Efficient Resource Allocation for NOMA enabled MEC Networks with Imperfect CSI—0
Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data—0
EdgeLoc: An Edge-IoT Framework for Robust Indoor Localization Using Capsule Networks—0
Optimal Resource Allocation for Delay Minimization in NOMA-MEC Networks—0
Binarized Neural Architecture Search for Efficient Object Recognition—0
Edge Learning with Unmanned Ground Vehicle: Joint Path, Energy and Sample Size Planning—0
DRLE: Decentralized Reinforcement Learning at the Edge for Traffic Light Control in the IoVCode2
Communication and networking technologies for UAVs: A survey—0
Embedded Development Boards for Edge-AI: A Comprehensive Report—0
Training Deep Neural Networks with Constrained Learning Parameters—0
Energy-efficient Wireless Charging and Computation Offloading In MEC Systems—0
SEEC: Semantic Vector Federation across Edge Computing Environments—0
Ubiquitous Distributed Deep Reinforcement Learning at the Edge: Analyzing Byzantine Agents in Discrete Action Spaces—0
Offloading Optimization in Edge Computing for Deep Learning Enabled Target Tracking by Internet-of-UAVs—0
Damage Detection in Bridge Structures: An Edge Computing Approach—0
Computation Offloading in Heterogeneous Vehicular Edge Networks: On-line and Off-policy Bandit Solutions—0
An Intelligent Edge-Centric Queries Allocation Scheme based on Ensemble Models—0
Discontinuous Computation Offloading for Energy-Efficient Mobile Edge Computing—0
Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement LearningCode1
A Case For Adaptive Deep Neural Networks in Edge ComputingCode1
State-of-the-art Techniques in Deep Edge Intelligence—0
Edge Computing for Real-Time Near-Crash Detection for Smart Transportation Applications—0
Data Synopses Management based on a Deep Learning Model—0
Deep Reinforcement Learning Based Mobile Edge Computing for Intelligent Internet of Things—0
Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged NetworksCode1
Swarm Intelligence for Next-Generation Wireless Networks: Recent Advances and Applications—0
On the Use of Interpretable Machine Learning for the Management of Data Quality—0
Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems—0
A Review on Computational Intelligence Techniques in Cloud and Edge Computing—0
Split Computing for Complex Object Detectors: Challenges and Preliminary ResultsCode1
Proactive Tasks Management based on a Deep Learning Model—0
An Intelligent Scheme for Uncertainty Management of Data Synopses Management in Pervasive Computing Applications—0
A Machine Learning Approach for Task and Resource Allocation in Mobile Edge Computing Based Networks—0
Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge ComputingCode1
Neuromodulated Neural Architectures with Local Error Signals for Memory-Constrained Online Continual Learning—0
Federated Learning in Mobile Edge Computing: An Edge-Learning Perspective for Beyond 5G—0
Information Freshness-Aware Task Offloading in Air-Ground Integrated Edge Computing Systems—0
Joint Multi-User DNN Partitioning and Computational Resource Allocation for Collaborative Edge Intelligence—0
Computation Offloading in Beyond 5G Networks: A Distributed Learning Framework and Applications—0
KubeEdge.AI: AI Platform for Edge Devices—0
Coded Computing for Federated Learning at the Edge—0
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