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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 51–100 of 1279 papers

TitleStatusHype
Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural NetworkCode1
PreGAN: Preemptive Migration Prediction Network for Proactive Fault-Tolerant Edge ComputingCode1
Real-Time Multimodal Cognitive Assistant for Emergency Medical ServicesCode1
Reconfigurable Intelligent Surface Aided Vehicular Edge Computing: Joint Phase-shift Optimization and Multi-User Power AllocationCode1
DONE: Distributed Approximate Newton-type Method for Federated Edge LearningCode1
Scalable Resource Management for Dynamic MEC: An Unsupervised Link-Output Graph Neural Network ApproachCode1
SDPose: Tokenized Pose Estimation via Circulation-Guide Self-DistillationCode1
SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge InferenceCode1
SparseIDS: Learning Packet Sampling with Reinforcement LearningCode1
AdaptSLAM: Edge-Assisted Adaptive SLAM with Resource Constraints via Uncertainty MinimizationCode1
Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network LatencyCode1
Split Computing for Complex Object Detectors: Challenges and Preliminary ResultsCode1
Differentiable Weightless Neural NetworksCode1
Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharingCode1
Control Aspects for Using RIS in Latency-Constrained Mobile Edge ComputingCode1
Cost-effective On-device Continual Learning over Memory Hierarchy with MiroCode1
Communication-Efficient Federated Learning for Wireless Edge Intelligence in IoTCode1
Communication-Computation Trade-Off in Resource-Constrained Edge InferenceCode1
Computation Rate Maximization for Wireless Powered Edge Computing With Multi-User CooperationCode1
Convergence of Edge Computing and Deep Learning: A Comprehensive SurveyCode1
CSL-YOLO: A New Lightweight Object Detection System for Edge ComputingCode1
Nonlinear optical encoding enabled by recurrent linear scatteringCode1
Attribution Preservation in Network Compression for Reliable Network InterpretationCode1
Distilled Split Deep Neural Networks for Edge-Assisted Real-Time SystemsCode1
A Reinforcement Learning Environment for Multi-Service UAV-enabled Wireless SystemsCode1
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
Dual‑detector Re‑optimization for Federated Weakly Supervised Video Anomaly Detection Via Adaptive Dynamic Recursive MappingCode1
Channel-Aware Distillation Transformer for Depth Estimation on Nano DronesCode1
An Energy-Efficient Edge Computing Paradigm for Convolution-based Image UpsamplingCode1
Age-Based Scheduling for Mobile Edge Computing: A Deep Reinforcement Learning ApproachCode1
Efficient Neural Network Deployment for MicrocontrollerCode1
Active multi-fidelity Bayesian online changepoint detectionCode1
Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Persevering EdgeIoTCode1
FedFusion: Manifold Driven Federated Learning for Multi-satellite and Multi-modality FusionCode1
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter SharingCode1
GreenKGC: A Lightweight Knowledge Graph Completion MethodCode1
A Multi-Head Ensemble Multi-Task Learning Approach for Dynamical Computation OffloadingCode1
Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing SystemsCode1
An FPGA-based Solution for Convolution Operation AccelerationCode1
Adaptive and Parallel Split Federated Learning in Vehicular Edge ComputingCode1
FastIoT -- A framework and holistic approach for rapid development of IIoT systemsCode1
Machine Learning at the Network Edge: A SurveyCode1
MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing SystemsCode1
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge DevicesCode1
Networking Systems for Video Anomaly Detection: A Tutorial and SurveyCode1
Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged NetworksCode1
Online Service Migration in Mobile Edge with Incomplete System Information: A Deep Recurrent Actor-Critic Learning ApproachCode1
ED-sKWS: Early-Decision Spiking Neural Networks for Rapid,and Energy-Efficient Keyword SpottingCode1
Multi-objective Deep Reinforcement Learning for Mobile Edge ComputingCode1
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