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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 351–400 of 1279 papers

TitleStatusHype
Control-Oriented Power Allocation for Integrated Satellite-UAV Networks—0
Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks—0
Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-assisted Mobile Edge Computing—0
Deep Reinforcement Learning-Based Dynamic Resource Management for Mobile Edge Computing in Industrial Internet of Things—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 Survey on XAI for 5G and Beyond Security: Technical Aspects, Challenges and Research Directions—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
Asynchronous Fractional Multi-Agent Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing—0
Dependency-Aware Computation Offloading in Mobile Edge Computing: A Reinforcement Learning Approach—0
Controlling Chaos Using Edge Computing Hardware—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
A Quality-of-Service Compliance System using Federated Learning and Optimistic Rollups—0
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey—0
Design Flow of Accelerating Hybrid Extremely Low Bit-width Neural Network in Embedded FPGA—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
Detecting Wildfire Flame and Smoke through Edge Computing using Transfer Learning Enhanced Deep Learning Models—0
At the Dawn of Generative AI Era: A Tutorial-cum-Survey on New Frontiers in 6G Wireless Intelligence—0
Federated Learning on Stochastic Neural Networks—0
A Provably Secure and Efficient Identity-Based Anonymous Authentication Scheme for Mobile Edge Computing—0
Differentially Private Deep Q-Learning for Pattern Privacy Preservation in MEC Offloading—0
Digital Modeling on Large Kernel Metamaterial Neural Network—0
Digital Twin-assisted Reinforcement Learning for Resource-aware Microservice Offloading in Edge Computing—0
Digital Twin-Based User-Centric Edge Continual Learning in Integrated Sensing and Communication—0
Advanced Relay-Based Collaborative Framework for Optimizing Synchronization in Split Federated Learning over Wireless Networks—0
Digital Twinning of a Pressurized Water Reactor Startup Operation and Partial Computational Offloading in In-network Computing-Assisted Multiaccess Edge Computing—0
Continuous GNN-based Anomaly Detection on Edge using Efficient Adaptive Knowledge Graph Learning—0
DILEMMA: Joint LLM Quantization and Distributed LLM Inference Over Edge Computing Systems—0
Contextual Model Aggregation for Fast and Robust Federated Learning in Edge Computing—0
Distributed Deep Learning Inference Acceleration using Seamless Collaboration in Edge Computing—0
Distributed Deep Learning Model for Intelligent Video Surveillance Systems with Edge Computing—0
Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing—0
Distributed Intelligence in Wireless Networks—0
Distributed Learning Meets 6G: A Communication and Computing Perspective—0
Distributed Multi-Objective Dynamic Offloading Scheduling for Air-Ground Cooperative MEC—0
Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving—0
Distributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching—0
Distributed Resource Scheduling for Large-Scale MEC Systems: A Multi-Agent Ensemble Deep Reinforcement Learning with Imitation Acceleration—0
Distributed Threat Intelligence at the Edge Devices: A Large Language Model-Driven Approach—0
Distribution free uncertainty quantification in neuroscience-inspired deep operators—0
A learning-based solution approach to the application placement problem in mobile edge computing under uncertainty—0
A proof of contribution in blockchain using game theoretical deep learning model—0
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