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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 276–300 of 1279 papers

TitleStatusHype
Proximity-based Self-Federated Learning—0
Continuous reasoning for adaptive container image distribution in the cloud-edge continuumCode0
Latency optimized Deep Neural Networks (DNNs): An Artificial Intelligence approach at the Edge using Multiprocessor System on Chip (MPSoC)—0
Reconfigurable Intelligent Surface for Sensing, Communication, and Computation: Perspectives, Challenges, and Opportunities—0
Digital Twin Vehicular Edge Computing Network: Task Offloading and Resource AllocationCode2
Enhancing TinyML Security: Study of Adversarial Attack Transferability—0
Quality Scalable Quantization Methodology for Deep Learning on Edge—0
Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing—0
Towards Efficient Deployment of Hybrid SNNs on Neuromorphic and Edge AI Hardware—0
Resource Allocation for Twin Maintenance and Computing Task Processing in Digital Twin Vehicular Edge Computing NetworkCode1
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey—0
AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge ComputingCode0
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking Neural Networks for Energy-Efficient Edge Computing—0
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence—0
Feature Attenuation of Defective Representation Can Resolve Incomplete Masking on Anomaly DetectionCode0
QET: Enhancing Quantized LLM Parameters and KV cache Compression through Element Substitution and Residual Clustering—0
Multi-Time Scale Service Caching and Pricing in MEC Systems with Dynamic Program Popularity—0
Multi-Task Decision-Making for Multi-User 360 Video Processing over Wireless Networks—0
YOLOv5, YOLOv8 and YOLOv10: The Go-To Detectors for Real-time Vision—0
Terahertz Communication Multi-UAV-Assisted Mobile Edge Computing System—0
Optimizing Age of Information in Vehicular Edge Computing with Federated Graph Neural Network Multi-Agent Reinforcement LearningCode0
Koopman based trajectory model and computation offloading for high mobility paradigm in ISAC enabled IoT system—0
RepAct: The Re-parameterizable Adaptive Activation FunctionCode0
Digital Twinning of a Pressurized Water Reactor Startup Operation and Partial Computational Offloading in In-network Computing-Assisted Multiaccess Edge Computing—0
Decentralized Task Offloading and Load-Balancing for Mobile Edge Computing in Dense Networks—0
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