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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 351–375 of 1279 papers

TitleStatusHype
A Survey on Deep Neural Network Partition over Cloud, Edge and End Devices—0
Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks—0
A Survey of NOMA: State of the Art, Key Techniques, Open Challenges, Security Issues and Future Trends—0
AGSENet: A Robust Road Ponding Detection Method for Proactive Traffic Safety—0
Deep Reinforcement Learning Based Mobile Edge Computing for Intelligent Internet of Things—0
Deep Reinforcement Learning Based Multi-Access Edge Computing Schedule for Internet of Vehicle—0
Deep Reinforcement Learning Based Resource Allocation for Cloud Native Wireless Network—0
Deep Reinforcement Learning Based Vehicle Selection for Asynchronous Federated Learning Enabled Vehicular Edge Computing—0
Deep Reinforcement Learning for Collaborative Edge Computing in Vehicular Networks—0
Deep Reinforcement Learning for Task Offloading in UAV-Aided Smart Farm Networks—0
A Bayesian Framework of Deep Reinforcement Learning for Joint O-RAN/MEC Orchestration—0
Deep Unfolding with Kernel-based Quantization in MIMO Detection—0
Delay Characterization of Mobile Edge Computing for 6G Time-Sensitive Services—0
Delay Minimization for Movable Antennas-Enabled Anti-Jamming Communications With Mobile Edge Computing—0
Multi-dimensional Autoscaling of Processing Services: A Comparison of Agent-based Methods—0
Dependency-Aware Computation Offloading in Mobile Edge Computing: A Reinforcement Learning Approach—0
CNNs for JPEGs: A Study in Computational Cost—0
Depthwise Separable Convolutions with Deep Residual Convolutions—0
Design and Implementation of a RISC-V SoC with Custom DSP Accelerators for Edge Computing—0
Design and Optimization of Hierarchical Gradient Coding for Distributed Learning at Edge Devices—0
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review—0
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey—0
A Survey of Blockchain, Artificial Intelligence, and Edge Computing for Web 3.0—0
Design of a dynamic and self adapting system, supported with artificial intelligence, machine learning and real time intelligence for predictive cyber risk analytics in extreme environments, cyber risk in the colonisation of Mars—0
Deep Learning, Machine Learning, Advancing Big Data Analytics and Management—0
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