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Edge-computing

Deep Learning on EDGE devices

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Showing 1001–1050 of 1279 papers

TitleStatusHype
Reconfigurable Intelligent Surface Aided Mobile Edge Computing: From Optimization-Based to Location-Only Learning-Based Solutions—0
Towards AIOps in Edge Computing Environments—0
The Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing Platforms—0
Adaptive Processor Frequency Adjustment for Mobile Edge Computing with Intermittent Energy Supply—0
Energy-Harvesting Distributed Machine Learning—0
Consensus Based Multi-Layer Perceptrons for Edge Computing—0
Secure and Energy-Efficient Offloading and Resource Allocation in a NOMA-Based MEC Network—0
Energy Optimization in Massive MIMO UAV-Aided MEC-Enabled Vehicular Networks—0
Reconfigurable Intelligent Surface Aided Mobile Edge Computing—0
Multi-UAV Mobile Edge Computing and Path Planning Platform based on Reinforcement Learning—0
AHAR: Adaptive CNN for Energy-efficient Human Activity Recognition in Low-power Edge Devices—0
Artificial Intelligence Driven UAV-NOMA-MEC in Next Generation Wireless Networks—0
AI-Empowered VNF Migration as a Cost-Loss-Effective Solution for Network Resilience—0
Artificial Intelligence based Sensor Data Analytics Framework for Remote Electricity Network Condition Monitoring—0
Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge—0
Dynamic DNN Decomposition for Lossless Synergistic Inference—0
EC-SAGINs: Edge Computing-enhanced Space-Air-Ground Integrated Networks for Internet of Vehicles—0
Reliable Fleet Analytics for Edge IoT Solutions—0
Multi-Agent Reinforcement Learning Based Resource Management in MEC- and UAV-Assisted Vehicular Networks—0
Federated Nonconvex Sparse Learning—0
Federated Multi-Agent Actor-Critic Learning for Age Sensitive Mobile Edge Computing—0
CNNs for JPEGs: A Study in Computational Cost—0
Achieving Real-Time LiDAR 3D Object Detection on a Mobile Device—0
Reconfigurable Intelligent Surface Assisted Mobile Edge Computing with Heterogeneous Learning Tasks—0
Towards Real-World BCI: CCSPNet, A Compact Subject-Independent Motor Imagery FrameworkCode0
Energy Efficient Federated Learning over Heterogeneous Mobile Devices via Joint Design of Weight Quantization and Wireless Transmission—0
A Fast Edge-Based Synchronizer for Tasks in Real-Time Artificial Intelligence Applications—0
LiveMap: Real-Time Dynamic Map in Automotive Edge Computing—0
Fast-Convergent Dynamics for Distributed Allocation of Resources Over Switching Sparse Networks with Quantized Communication Links—0
A Reinforcement Learning Formulation of the Lyapunov Optimization: Application to Edge Computing Systems with Queue Stability—0
Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data—0
On-Request Wireless Charging and Partial Computation Offloading In Multi-Access Edge Computing Systems—0
Artificial Intelligence at the Edge—0
Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things—0
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework—0
The Why, What and How of Artificial General Intelligence Chip Development—0
Cost-effective Machine Learning Inference Offload for Edge Computing—0
SensiX: A Platform for Collaborative Machine Learning on the Edge—0
Intrusion Detection Systems for IoT: opportunities and challenges offered by Edge Computing and Machine Learning—0
Edge-assisted Democratized Learning Towards Federated Analytics—0
LocKedge: Low-Complexity Cyberattack Detection in IoT Edge Computing—0
EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference—0
Bringing AI To Edge: From Deep Learning's Perspective—0
Benchmarking Inference Performance of Deep Learning Models on Analog Devices—0
A Review of Recent Advances of Binary Neural Networks for Edge Computing—0
Federated learning with class imbalance reduction—0
Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks—0
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things—0
Collaborative Three-Tier Architecture Non-contact Respiratory Rate Monitoring using Target Tracking and False Peaks Eliminating AlgorithmsCode0
Dynamic Hard Pruning of Neural Networks at the Edge of the Internet—0
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