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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 301–350 of 1279 papers

TitleStatusHype
A Realistic Simulation Framework for Analog/Digital Neuromorphic Architectures—0
CoRaiS: Lightweight Real-Time Scheduler for Multi-Edge Cooperative Computing—0
Coordination-free Decentralised Federated Learning on Complex Networks: Overcoming Heterogeneity—0
A Fast Edge-Based Synchronizer for Tasks in Real-Time Artificial Intelligence Applications—0
Cooperative Task Offloading and Block Mining in Blockchain-based Edge Computing with Multi-agent Deep Reinforcement Learning—0
Architectural Blueprint For Heterogeneity-Resilient Federated Learning—0
A Cost-Efficient FPGA Implementation of Tiny Transformer Model using Neural ODE—0
Core Network Management Procedures for Self-Organized and Sustainable 5G Cellular Networks—0
Corticomorphic Hybrid CNN-SNN Architecture for EEG-based Low-footprint Low-latency Auditory Attention Detection—0
Cost-effective Machine Learning Inference Offload for Edge Computing—0
A 5G Enabled Adaptive Computing Workflow for Greener Power Grid—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
Cooling-Aware Resource Allocation and Load Management for Mobile Edge Computing Systems—0
cuVSLAM: CUDA accelerated visual odometry and mapping—0
D3PG: Dirichlet DDPG for Task Partitioning and Offloading With Constrained Hybrid Action Space in Mobile-Edge Computing—0
Damage Detection in Bridge Structures: An Edge Computing Approach—0
A Convergence Theory for Federated Average: Beyond Smoothness—0
DART: Depth-Enhanced Accurate and Real-Time Background Matting—0
Data-Driven Detection and Identification of IoT-Enabled Load-Altering Attacks in Power Grids—0
Data Quality in Edge Machine Learning: A State-of-the-Art Survey—0
Data Synopses Management based on a Deep Learning Model—0
A Review of Recent Advances of Binary Neural Networks for Edge Computing—0
Active Learning Solution on Distributed Edge Computing—0
Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness—0
Decentralized Task Offloading and Load-Balancing for Mobile Edge Computing in Dense Networks—0
Control-Oriented Power Allocation for Integrated Satellite-UAV Networks—0
Decision Transformers for Wireless Communications: A New Paradigm of Resource Management—0
DeepAir: A Multi-Agent Deep Reinforcement Learning Based Scheme for an Unknown User Location Problem—0
DeepBF: Malicious URL detection using Learned Bloom Filter and Evolutionary Deep Learning—0
Controlling Chaos Using Edge Computing Hardware—0
DeepEdge: A Deep Reinforcement Learning based Task Orchestrator for Edge Computing—0
DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices—0
Deep Edge Intelligence: Architecture, Key Features, Enabling Technologies and Challenges—0
A Quality-of-Service Compliance System using Federated Learning and Optimistic Rollups—0
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications—0
Deep Learning at the Edge—0
Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review—0
Deep Learning Based Joint Resource Scheduling Algorithms for Hybrid MEC Networks—0
Deep Learning-Based Multiple Object Visual Tracking on Embedded System for IoT and Mobile Edge Computing Applications—0
Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques—0
Deep Learning for Hybrid 5G Services in Mobile Edge Computing Systems: Learn from a Digital Twin—0
Deep Learning for Reliable Mobile Edge Analytics in Intelligent Transportation Systems—0
Deep Learning for Secure Mobile Edge Computing—0
Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks—0
Deep Learning in the Era of Edge Computing: Challenges and Opportunities—0
Deep Learning, Machine Learning, Advancing Big Data Analytics and Management—0
AgroXAI: Explainable AI-Driven Crop Recommendation System for Agriculture 4.0—0
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review—0
Federated Learning on Stochastic Neural Networks—0
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