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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 1001–1050 of 1279 papers

TitleStatusHype
Reconfigurable Intelligent Surface Assisted Mobile Edge Computing with Heterogeneous Learning Tasks—0
A Fast Edge-Based Synchronizer for Tasks in Real-Time Artificial Intelligence Applications—0
Energy Efficient Federated Learning over Heterogeneous Mobile Devices via Joint Design of Weight Quantization and Wireless Transmission—0
LiveMap: Real-Time Dynamic Map in Automotive Edge Computing—0
Online Service Migration in Mobile Edge with Incomplete System Information: A Deep Recurrent Actor-Critic Learning ApproachCode1
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
On-Request Wireless Charging and Partial Computation Offloading In Multi-Access Edge Computing Systems—0
Artificial Intelligence at the Edge—0
Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data—0
DONE: Distributed Approximate Newton-type Method for Federated Edge LearningCode1
The Why, What and How of Artificial General Intelligence Chip Development—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
Cost-effective Machine Learning Inference Offload for Edge Computing—0
Systolic-CNN: An OpenCL-defined Scalable Run-time-flexible FPGA Accelerator Architecture for Accelerating Convolutional Neural Network Inference in Cloud/Edge ComputingCode1
SensiX: A Platform for Collaborative Machine Learning on the Edge—0
Going Beyond Classification Accuracy Metrics in Model CompressionCode1
Intrusion Detection Systems for IoT: opportunities and challenges offered by Edge Computing and Machine Learning—0
Edge-assisted Democratized Learning Towards Federated Analytics—0
EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference—0
LocKedge: Low-Complexity Cyberattack Detection in IoT Edge Computing—0
Bringing AI To Edge: From Deep Learning's Perspective—0
Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge NetworksCode1
A Review of Recent Advances of Binary Neural Networks for Edge Computing—0
Benchmarking Inference Performance of Deep Learning Models on Analog Devices—0
Federated learning with class imbalance reduction—0
Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing SystemsCode1
Collaborative Three-Tier Architecture Non-contact Respiratory Rate Monitoring using Target Tracking and False Peaks Eliminating AlgorithmsCode0
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
Dynamic Hard Pruning of Neural Networks at the Edge of the Internet—0
Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network LatencyCode1
Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks—0
Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing—0
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial—0
S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-shot Segmentation—0
Learning Centric Wireless Resource Allocation for Edge Computing: Algorithm and Experiment—0
Attribution Preservation in Network Compression for Reliable Network InterpretationCode1
Implementing efficient balanced networks with mixed-signal spike-based learning circuitsCode0
Real-Time Edge Classification: Optimal Offloading under Token Bucket ConstraintsCode0
Deep Learning in the Era of Edge Computing: Challenges and Opportunities—0
Revenue and Energy Efficiency-Driven Delay Constrained Computing Task Offloading and Resource Allocation in a Vehicular Edge Computing Network: A Deep Reinforcement Learning Approach—0
The Shift to 6G Communications: Vision and Requirements—0
A Very Compact Embedded CNN Processor Design Based on Logarithmic Computing—0
Deep Reinforcement Learning-Based Dynamic Resource Management for Mobile Edge Computing in Industrial Internet of Things—0
Deep Reinforcement Learning for Collaborative Edge Computing in Vehicular Networks—0
Coded Stochastic ADMM for Decentralized Consensus Optimization with Edge Computing—0
A Deep Learning Approach for Mobility-Aware and Energy-Efficient Resource Allocation in MEC—0
A view synthesis-based 360° VR caching system over MEC-Enabled C-RAN—0
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