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Edge-computing

Deep Learning on EDGE devices

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Showing 601–650 of 1279 papers

TitleStatusHype
Training Latency Minimization for Model-Splitting Allowed Federated Edge Learning—0
Digital Modeling on Large Kernel Metamaterial Neural Network—0
Joint Service Caching, Communication and Computing Resource Allocation in Collaborative MEC Systems: A DRL-based Two-timescale Approach—0
Enhancing Network Slicing Architectures with Machine Learning, Security, Sustainability and Experimental Networks IntegrationCode0
Corticomorphic Hybrid CNN-SNN Architecture for EEG-based Low-footprint Low-latency Auditory Attention Detection—0
Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks—0
Efficient Task Offloading Algorithm for Digital Twin in Edge/Cloud Computing Environment—0
Search-time Efficient Device Constraints-Aware Neural Architecture Search—0
Edge Storage Management Recipe with Zero-Shot Data Compression for Road Anomaly Detection—0
Social-Mobility-Aware Joint Communication and Computation Resource Management in NOMA-Enabled Vehicular Networks—0
Minimizing Age of Information for Mobile Edge Computing Systems: A Nested Index Approach—0
MyDigitalFootprint: an extensive context dataset for pervasive computing applications at the edgeCode0
U-TOE: Universal TinyML On-board Evaluation Toolkit for Low-Power IoTCode0
Slimmable Encoders for Flexible Split DNNs in Bandwidth and Resource Constrained IoT Systems—0
Split Learning in 6G Edge Networks—0
Adaptive DNN Surgery for Selfish Inference Acceleration with On-demand Edge Resource—0
Accurate Calibration of Power Measurements from Internal Power Sensors on NVIDIA Jetson Devices—0
TSNet-SAC: Leveraging Transformers for Efficient Task Scheduling—0
GQFedWAvg: Optimization-Based Quantized Federated Learning in General Edge Computing SystemsCode0
A Survey of NOMA: State of the Art, Key Techniques, Open Challenges, Security Issues and Future Trends—0
FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems—0
Enhancing Worker Recruitment in Collaborative Mobile Crowdsourcing: A Graph Neural Network Trust Evaluation Approach—0
Real-Time Onboard Object Detection for Augmented Reality: Enhancing Head-Mounted Display with YOLOv8—0
Cross-CBAM: A Lightweight network for Scene Segmentation—0
4DSR-GCN: 4D Video Point Cloud Upsampling using Graph Convolutional Networks—0
Low Precision Quantization-aware Training in Spiking Neural Networks with Differentiable Quantization Function—0
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning—0
Reconfigurable Distributed FPGA Cluster Design for Deep Learning Accelerators—0
GiPH: Generalizable Placement Learning for Adaptive Heterogeneous ComputingCode0
Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition—0
LightESD: Fully-Automated and Lightweight Anomaly Detection Framework for Edge Computing—0
Attention-based QoE-aware Digital Twin Empowered Edge Computing for Immersive Virtual Reality—0
MetaMorphosis: Task-oriented Privacy Cognizant Feature Generation for Multi-task Learning—0
Deep Reinforcement Learning Based Resource Allocation for Cloud Native Wireless Network—0
Architectural Vision for Quantum Computing in the Edge-Cloud ContinuumCode0
A Feasibility Study on Indoor Localization and Multi-person Tracking Using Sparsely Distributed Camera Network with Edge ComputingCode0
Dynamic resource allocation scheme for mobile edge computing—0
Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing—0
Moccasin: Efficient Tensor Rematerialization for Neural NetworksCode0
Causal Semantic Communication for Digital Twins: A Generalizable Imitation Learning Approach—0
Towards Carbon-Neutral Edge Computing: Greening Edge AI by Harnessing Spot and Future Carbon Markets—0
A Survey on Deep Neural Network Partition over Cloud, Edge and End Devices—0
Heterogeneous Integration of In-Memory Analog Computing Architectures with Tensor Processing Units—0
Real Time Bearing Fault Diagnosis Based on Convolutional Neural Network and STM32 Microcontroller—0
Speck: A Smart event-based Vision Sensor with a low latency 327K Neuron Convolutional Neuronal Network Processing Pipeline—0
Edge-cloud Collaborative Learning with Federated and Centralized Features—0
Perspectives on AI Architectures and Co-design for Earth System Predictability—0
Deep Reinforcement Learning Based Vehicle Selection for Asynchronous Federated Learning Enabled Vehicular Edge Computing—0
A Survey on Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions—0
Open the box of digital neuromorphic processor: Towards effective algorithm-hardware co-design—0
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