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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 501–550 of 1279 papers

TitleStatusHype
EfficientFi: Towards Large-Scale Lightweight WiFi Sensing via CSI Compression—0
A Comprehensive System Architecture using Field Programmable Gate Arrays Technology, Dijkstra's Algorithm, and Edge Computing for Emergency Response in Smart Cities—0
Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge—0
Efficient Implementation of LinearUCB through Algorithmic Improvements and Vector Computing Acceleration for Embedded Learning Systems—0
Efficient logic architecture in training gradient boosting decision tree for high-performance and edge computing—0
Efficient Low-Latency Dynamic Licensing for Deep Neural Network Deployment on Edge Devices—0
Efficient Model Compression for Hierarchical Federated Learning—0
Computation Rate Maximum for Mobile Terminals in UAV-assisted Wireless Powered MEC Networks with Fairness Constraint—0
Efficient Multi-Object Tracking on Edge Devices via Reconstruction-Based Channel Pruning—0
Computation Rate Maximization in UAV-Enabled Wireless Powered Mobile-Edge Computing Systems—0
A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control—0
Computation Offloading in Multi-Access Edge Computing Networks: A Multi-Task Learning Approach—0
A Pervasive Framework for Human Detection and Tracking—0
A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments—0
A 28-nm Convolutional Neuromorphic Processor Enabling Online Learning with Spike-Based Retinas—0
Energy-efficient Wireless Charging and Computation Offloading In MEC Systems—0
EnergyShield: Provably-Safe Offloading of Neural Network Controllers for Energy Efficiency—0
Computation Offloading in Heterogeneous Vehicular Edge Networks: On-line and Off-policy Bandit Solutions—0
Computation Offloading in Beyond 5G Networks: A Distributed Learning Framework and Applications—0
A Parameter Aggregation Strategy on Personalized Federated Learning—0
Computation Offloading for Multi-server Multi-access Edge Vehicular Networks: A DDQN-based Method—0
Computation-efficient Deep Learning for Computer Vision: A Survey—0
Anticipate, Ensemble and Prune: Improving Convolutional Neural Networks via Aggregated Early Exits—0
ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65nm CMOS—0
Computation Capacity Maximization for Pinching Antennas-Assisted Wireless Powered MEC Systems—0
Computation- and Communication-Efficient Online FL for Resource-Constrained Aerial Vehicles—0
Anti-Byzantine Attacks Enabled Vehicle Selection for Asynchronous Federated Learning in Vehicular Edge Computing—0
Computational Offloading in Semantic-Aware Cloud-Edge-End Collaborative Networks—0
Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision—0
A Novel Neural Network-Based Federated Learning System for Imbalanced and Non-IID Data—0
ADEPOS: Anomaly Detection based Power Saving for Predictive Maintenance using Edge Computing—0
A Comprehensive Survey on Aerial Mobile Edge Computing: Challenges, State-of-the-Art, and Future Directions—0
Computational complexity reduction of deep neural networks—0
Comprehensive Survey of Model Compression and Speed up for Vision Transformers—0
A Novel Framework of Horizontal-Vertical Hybrid Federated Learning for EdgeIoT—0
Edge Computing for IoT: Novel Insights from a Comparative Analysis of Access Control Models—0
Comparison of edge computing methods in Internet of Things architectures for efficient estimation of indoor environmental parameters with Machine Learning—0
A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization—0
A Deep Transfer Learning-based Edge Computing Method for Home Health Monitoring—0
Comparative Analysis of Lightweight Deep Learning Models for Memory-Constrained Devices—0
Energy Efficient Resource Allocation for Mobile-Edge Computation Networks with NOMA—0
Energy-Efficient Processing and Robust Wireless Cooperative Transmission for Edge Inference—0
Compact Recurrent Transformer with Persistent Memory—0
A Novel Access Control and Privacy-Enhancing Approach for Models in Edge Computing—0
Energy-Efficient Offloading in Delay-Constrained Massive MIMO Enabled Edge Network Using Data Partitioning—0
Energy-Efficient Multi-UAV-Enabled MEC Systems over Space-Air-Ground Integrated Networks—0
Energy Efficient Edge Computing: When Lyapunov Meets Distributed Reinforcement Learning—0
Energy-Efficient Dynamic Edge Computing with Electromagnetic Field Exposure Constraints—0
Energy-Efficient Resource Allocation for NOMA enabled MEC Networks with Imperfect CSI—0
Communication-Efficient Edge AI Inference Over Wireless Networks—0
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