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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 101–125 of 1279 papers

TitleStatusHype
Spatial Monitoring and Insect Behavioural Analysis Using Computer Vision for Precision PollinationCode1
Semantic Novelty Detection via Relational ReasoningCode1
Efficient Neural Network Deployment for MicrocontrollerCode1
A Lightweight Spatiotemporal Network for Online Eye Tracking with Event CameraCode1
Energy-Efficient Blockchain-enabled User-Centric Mobile Edge ComputingCode1
SWIFT: Mapping Sub-series with Wavelet Decomposition Improves Time Series ForecastingCode1
ERX: A Fast Real-Time Anomaly Detection Algorithm for Hyperspectral Line ScanningCode1
Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement LearningCode1
Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Persevering EdgeIoTCode1
A Multi-Head Ensemble Multi-Task Learning Approach for Dynamical Computation OffloadingCode1
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter SharingCode1
TransVisDrone: Spatio-Temporal Transformer for Vision-based Drone-to-Drone Detection in Aerial VideosCode1
HRNET: AI on Edge for mask detection and social distancingCode0
HawkDrive: A Transformer-driven Visual Perception System for Autonomous Driving in Night SceneCode0
Hybrid HMM Decoder For Convolutional Codes By Joint Trellis-Like Structure and Channel PriorCode0
An effective and efficient green federated learning method for one-layer neural networksCode0
An Edge Computing-Based Solution for Real-Time Leaf Disease Classification using Thermal ImagingCode0
ACDnet: An action detection network for real-time edge computing based on flow-guided feature approximation and memory aggregationCode0
Hardware-Efficient Deconvolution-Based GAN for Edge ComputingCode0
Graph Markov Network for Traffic Forecasting with Missing DataCode0
GQFedWAvg: Optimization-Based Quantized Federated Learning in General Edge Computing SystemsCode0
Genetic CFL: Optimization of Hyper-Parameters in Clustered Federated LearningCode0
FedSKC: Federated Learning with Non-IID Data via Structural Knowledge CollaborationCode0
FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Edge DevicesCode0
FedICT: Federated Multi-task Distillation for Multi-access Edge ComputingCode0
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