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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 501–525 of 1279 papers

TitleStatusHype
EfficientFi: Towards Large-Scale Lightweight WiFi Sensing via CSI Compression—0
Conformer-Based Speech Recognition On Extreme Edge-Computing Devices—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
A Primer on Techtile: An R&D Testbed for Distributed Communication, Sensing and Positioning—0
Efficient Multi-Object Tracking on Edge Devices via Reconstruction-Based Channel Pruning—0
A Comprehensive System Architecture using Field Programmable Gate Arrays Technology, Dijkstra's Algorithm, and Edge Computing for Emergency Response in Smart Cities—0
Computation Rate Maximum for Mobile Terminals in UAV-assisted Wireless Powered MEC Networks with Fairness Constraint—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
Energon: Towards Efficient Acceleration of Transformers Using Dynamic Sparse Attention—0
Energy-Efficient and Physical Layer Secure Computation Offloading in Blockchain-Empowered Internet of Things—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
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