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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 1151–1200 of 1279 papers

TitleStatusHype
FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC—0
Risk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach—0
Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems—0
Byzantine-resilient Decentralized Stochastic Gradient Descent—0
Robustness analytics to data heterogeneity in edge computingCode0
AI Driven Heterogeneous MEC System with UAV Assistance for Dynamic Environment -- Challenges and Solutions—0
SparseIDS: Learning Packet Sampling with Reinforcement LearningCode1
Stacked Auto Encoder Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks—0
Energy-Efficient Offloading in Delay-Constrained Massive MIMO Enabled Edge Network Using Data Partitioning—0
Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing—0
Performance-Oriented Neural Architecture Search—0
EdgeDRNN: Enabling Low-latency Recurrent Neural Network Edge Inference—0
Energy-Aware Multi-Server Mobile Edge Computing: A Deep Reinforcement Learning Approach—0
Spiking Networks for Improved Cognitive Abilities of Edge Computing Devices—0
Asynchronous Federated Learning with Differential Privacy for Edge Intelligence—0
Intelligent Reflecting Surface Enhanced Resilient Design for MEC Offloading over Millimeter Wave Links—0
A recipe for creating ideal hybrid memristive-CMOS neuromorphic computing systems—0
Graph Markov Network for Traffic Forecasting with Missing DataCode0
ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65nm CMOS—0
Towards Hardware-Aware Tractable Learning of Probabilistic ModelsCode0
A More Refined Mobile Edge Cache Replacement Scheme for Adaptive Video Streaming with Mutual Cooperation in Multi-MEC Servers—0
Deep Learning Based Joint Resource Scheduling Algorithms for Hybrid MEC Networks—0
Scientific Image Restoration AnywhereCode1
Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-assisted Mobile Edge Computing—0
FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of ThingsCode0
BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference SystemsCode0
Integrating PHY Security Into NDN-IoT Networks By Exploiting MEC: Authentication Efficiency, Robustness, and Accuracy Enhancement—0
Bandwidth Slicing to Boost Federated Learning in Edge Computing—0
Deep Learning at the Edge—0
Joint Computation and Communication Design for UAV-Assisted Mobile Edge Computing in IoT—0
Latency Minimization for Intelligent Reflecting Surface Aided Mobile Edge Computing—0
Energy-Efficient Task Offloading for Vehicular Edge Computing: Joint Optimization of Offloading and Bit Allocation—0
Mobile Edge Computing in Unmanned Aerial Vehicle Networks—0
xYOLO: A Model For Real-Time Object Detection In Humanoid Soccer On Low-End Hardware—0
Multiplierless and Sparse Machine Learning based on Margin Propagation Networks—0
Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing—0
LabelSens: Enabling Real-time Sensor Data Labelling at the point of Collection on Edge Computing—0
Distilled Split Deep Neural Networks for Edge-Assisted Real-Time SystemsCode1
EdgeCNN: Convolutional Neural Network Classification Model with small inputs for Edge ComputingCode0
Federated Learning in Mobile Edge Networks: A Comprehensive Survey—0
High performance RNNs with spiking neurons—0
A Lightweight Deep Learning Model for Human Activity Recognition on Edge Devices—0
Core Network Management Procedures for Self-Organized and Sustainable 5G Cellular Networks—0
Dependency-Aware Computation Offloading in Mobile Edge Computing: A Reinforcement Learning Approach—0
High-Throughput In-Memory Computing for Binary Deep Neural Networks with Monolithically Integrated RRAM and 90nm CMOS—0
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds—0
I-SAFE: Instant Suspicious Activity identiFication at the Edge using Fuzzy Decision Making—0
Learning without feedback: Fixed random learning signals allow for feedforward training of deep neural networksCode0
A Deep Reinforcement Learning Approach to Multi-component Job Scheduling in Edge Computing—0
Privacy-Preserved Task Offloading in Mobile Blockchain with Deep Reinforcement Learning—0
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