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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 51–100 of 1279 papers

TitleStatusHype
RESPECT: Reinforcement Learning based Edge Scheduling on Pipelined Coral Edge TPUsCode1
Scalable Resource Management for Dynamic MEC: An Unsupervised Link-Output Graph Neural Network ApproachCode1
Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural NetworkCode1
SDPose: Tokenized Pose Estimation via Circulation-Guide Self-DistillationCode1
ED-sKWS: Early-Decision Spiking Neural Networks for Rapid,and Energy-Efficient Keyword SpottingCode1
Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Persevering EdgeIoTCode1
Efficient Human Pose Estimation via 3D Event Point CloudCode1
Microservice Deployment in Edge Computing Based on Deep Q LearningCode1
Machine Learning at the Network Edge: A SurveyCode1
AdaptSLAM: Edge-Assisted Adaptive SLAM with Resource Constraints via Uncertainty MinimizationCode1
Energy-Efficient Blockchain-enabled User-Centric Mobile Edge ComputingCode1
Split Computing for Complex Object Detectors: Challenges and Preliminary ResultsCode1
Hyperspectral Image Classification Using Deep Matrix CapsulesCode1
MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing SystemsCode1
Multi-objective Deep Reinforcement Learning for Mobile Edge ComputingCode1
FrankenSplit: Efficient Neural Feature Compression with Shallow Variational Bottleneck Injection for Mobile Edge ComputingCode1
A Reinforcement Learning Environment for Multi-Service UAV-enabled Wireless SystemsCode1
GreenKGC: A Lightweight Knowledge Graph Completion MethodCode1
Attribution Preservation in Network Compression for Reliable Network InterpretationCode1
An FPGA-based Solution for Convolution Operation AccelerationCode1
Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing SystemsCode1
FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature CompressionCode1
Keyword Spotting System and Evaluation of Pruning and Quantization Methods on Low-power Edge MicrocontrollersCode1
LPYOLO: Low Precision YOLO for Face Detection on FPGACode1
FedFusion: Manifold Driven Federated Learning for Multi-satellite and Multi-modality FusionCode1
A Fast Task Offloading Optimization Framework for IRS-Assisted Multi-Access Edge Computing SystemCode1
A Credibility-aware Swarm-Federated Deep Learning Framework in Internet of VehiclesCode1
Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile RobotsCode1
Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement LearningCode1
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter SharingCode1
Age-Based Scheduling for Mobile Edge Computing: A Deep Reinforcement Learning ApproachCode1
Communication-Computation Trade-Off in Resource-Constrained Edge InferenceCode1
Active multi-fidelity Bayesian online changepoint detectionCode1
Control Aspects for Using RIS in Latency-Constrained Mobile Edge ComputingCode1
A Lightweight Spatiotemporal Network for Online Eye Tracking with Event CameraCode1
Convergence of Edge Computing and Deep Learning: A Comprehensive SurveyCode1
A Multi-Head Ensemble Multi-Task Learning Approach for Dynamical Computation OffloadingCode1
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge DevicesCode1
Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network LatencyCode1
An Energy-Efficient Edge Computing Paradigm for Convolution-based Image UpsamplingCode1
Adaptive and Parallel Split Federated Learning in Vehicular Edge ComputingCode1
FastIoT -- A framework and holistic approach for rapid development of IIoT systemsCode1
Differentiable Weightless Neural NetworksCode1
FELARE: Fair Scheduling of Machine Learning Tasks on Heterogeneous Edge SystemsCode1
HADAS: Hardware-Aware Dynamic Neural Architecture Search for Edge Performance ScalingCode1
Networking Systems for Video Anomaly Detection: A Tutorial and SurveyCode1
DONE: Distributed Approximate Newton-type Method for Federated Edge LearningCode1
Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharingCode1
Dual‑detector Re‑optimization for Federated Weakly Supervised Video Anomaly Detection Via Adaptive Dynamic Recursive MappingCode1
Real-Time Multimodal Cognitive Assistant for Emergency Medical ServicesCode1
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