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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 51–100 of 1279 papers

TitleStatusHype
Channel-Aware Distillation Transformer for Depth Estimation on Nano DronesCode1
Post Quantum Secure Blockchain-based Federated Learning for Mobile Edge ComputingCode1
FrankenSplit: Efficient Neural Feature Compression with Shallow Variational Bottleneck Injection for Mobile Edge ComputingCode1
Energy-Efficient Blockchain-enabled User-Centric Mobile Edge ComputingCode1
Hyperspectral Image Classification Using Deep Matrix CapsulesCode1
AdaptSLAM: Edge-Assisted Adaptive SLAM with Resource Constraints via Uncertainty MinimizationCode1
HADAS: Hardware-Aware Dynamic Neural Architecture Search for Edge Performance ScalingCode1
Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharingCode1
TransVisDrone: Spatio-Temporal Transformer for Vision-based Drone-to-Drone Detection in Aerial VideosCode1
GreenKGC: A Lightweight Knowledge Graph Completion MethodCode1
Keyword Spotting System and Evaluation of Pruning and Quantization Methods on Low-power Edge MicrocontrollersCode1
Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement LearningCode1
LPYOLO: Low Precision YOLO for Face Detection on FPGACode1
Semantic Novelty Detection via Relational ReasoningCode1
Towards On-device Domain Adaptation for Noise-Robust Keyword SpottingCode1
Efficient Human Pose Estimation via 3D Event Point CloudCode1
An FPGA-based Solution for Convolution Operation AccelerationCode1
FELARE: Fair Scheduling of Machine Learning Tasks on Heterogeneous Edge SystemsCode1
SplitPlace: AI Augmented Splitting and Placement of Large-Scale Neural Networks in Mobile Edge EnvironmentsCode1
Spatial Monitoring and Insect Behavioural Analysis Using Computer Vision for Precision PollinationCode1
Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Persevering EdgeIoTCode1
Microservice Deployment in Edge Computing Based on Deep Q LearningCode1
FastIoT -- A framework and holistic approach for rapid development of IIoT systemsCode1
MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing SystemsCode1
PreGAN: Preemptive Migration Prediction Network for Proactive Fault-Tolerant Edge ComputingCode1
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AICode1
User Allocation in Mobile Edge Computing: A Deep Reinforcement Learning ApproachCode1
SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge InferenceCode1
Supervised Compression for Resource-Constrained Edge Computing SystemsCode1
A Credibility-aware Swarm-Federated Deep Learning Framework in Internet of VehiclesCode1
An Energy-Efficient Edge Computing Paradigm for Convolution-based Image UpsamplingCode1
CSL-YOLO: A New Lightweight Object Detection System for Edge ComputingCode1
The Backpropagation Algorithm Implemented on Spiking Neuromorphic HardwareCode1
Potential Game based Channel Allocation for Vehicular Edge ComputingCode1
A Reinforcement Learning Environment for Multi-Service UAV-enabled Wireless SystemsCode1
Optimizing Memory Efficiency of Graph Neural Networks on Edge Computing PlatformsCode1
Active multi-fidelity Bayesian online changepoint detectionCode1
Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural NetworkCode1
WearMask: Fast In-browser Face Mask Detection with Serverless Edge Computing for COVID-19Code1
Online Service Migration in Mobile Edge with Incomplete System Information: A Deep Recurrent Actor-Critic Learning ApproachCode1
DONE: Distributed Approximate Newton-type Method for Federated Edge LearningCode1
Systolic-CNN: An OpenCL-defined Scalable Run-time-flexible FPGA Accelerator Architecture for Accelerating Convolutional Neural Network Inference in Cloud/Edge ComputingCode1
Going Beyond Classification Accuracy Metrics in Model CompressionCode1
Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge NetworksCode1
Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing SystemsCode1
Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network LatencyCode1
Attribution Preservation in Network Compression for Reliable Network InterpretationCode1
Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement LearningCode1
A Case For Adaptive Deep Neural Networks in Edge ComputingCode1
Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged NetworksCode1
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