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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 951–1000 of 1279 papers

TitleStatusHype
An adaptive cognitive sensor node for ECG monitoring in the Internet of Medical Things—0
DRLD-SP: A Deep Reinforcement Learning-based Dynamic Service Placement in Edge-Enabled Internet of Vehicles—0
Optimization of Service Addition in Multilevel Index Model for Edge Computing—0
Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligence—0
Online Detection of Vibration Anomalies Using Balanced Spiking Neural Networks—0
Reinforcement Learning-based Dynamic Service Placement in Vehicular Networks—0
Kolmogorov-Smirnov Test-Based Actively-Adaptive Thompson Sampling for Non-Stationary Bandits—0
Bridging Data Center AI Systems with Edge Computing for Actionable Information RetrievalCode0
Clustered Federated Learning via Generalized Total Variation MinimizationCode0
Real-time People Tracking and Identification from Sparse mm-Wave Radar Point-clouds—0
Single-Layer Vision Transformers for More Accurate Early Exits with Less Overhead—0
A Primer on Techtile: An R&D Testbed for Distributed Communication, Sensing and Positioning—0
ScissionLite: Accelerating Distributed Deep Neural Networks Using Transfer LayerCode0
Intelligent Zero Trust Architecture for 5G/6G Networks: Principles, Challenges, and the Role of Machine Learning in the context of O-RAN—0
A Deep Transfer Learning-based Edge Computing Method for Home Health Monitoring—0
Neuromorphic Computing is Turing-Complete—0
Secure and Efficient Federated Learning Through Layering and Sharding Blockchain—0
Quantization of Deep Neural Networks for Accurate Edge Computing—0
Software-Defined Edge Computing: A New Architecture Paradigm to Support IoT Data Analysis—0
Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning—0
A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things—0
Recognition of handwritten MNIST digits on low-memory 2 Kb RAM Arduino board using LogNNet reservoir neural networkCode0
Research on Resource Allocation for Efficient Federated Learning—0
BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices—0
An error-propagation spiking neural network compatible with neuromorphic processors—0
GSECnet: Ground Segmentation of Point Clouds for Edge Computing—0
STOPPAGE: Spatio-temporal Data Driven Cloud-Fog-Edge Computing Framework for Pandemic Monitoring and Management—0
Hybrid Policy Learning for Energy-Latency Tradeoff in MEC-Assisted VR Video Service—0
Energy Efficient Edge Computing: When Lyapunov Meets Distributed Reinforcement Learning—0
RIS-Assisted UAV for Timely Data Collection in IoT Networks—0
Collaborative Cloud and Edge Mobile Computing in C-RAN Systems with Minimal End-to-End Latency—0
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design—0
A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control—0
Edge Intelligence for Empowering IoT-based Healthcare Systems—0
Learning Optimal Fronthauling and Decentralized Edge Computation in Fog Radio Access Networks—0
DeepBF: Malicious URL detection using Learned Bloom Filter and Evolutionary Deep Learning—0
Mobility-Aware Offloading and Resource Allocation in MEC-Enabled IoT Networks—0
Passive frustrated nanomagnet reservoir computing—0
EdgeCRNN: an edgecomputing oriented model of acoustic feature enhancement for keyword spotting—0
Auction Based Clustered Federated Learning in Mobile Edge Computing System—0
SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems—0
Age of Information Optimization in a RIS-Assisted Wireless Network—0
Joint Coding and Scheduling Optimization for Distributed Learning over Wireless Edge Networks—0
Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing—0
Self-play Learning Strategies for Resource Assignment in Open-RAN Networks—0
MEC-Empowered Non-Terrestrial Network for 6G Wide-Area Time-Sensitive Internet of Things—0
Mitigating Edge Machine Learning Inference Bottlenecks: An Empirical Study on Accelerating Google Edge Models—0
Blockchain-Based Federated Learning in Mobile Edge Networks with Application in Internet of Vehicles—0
ACDnet: An action detection network for real-time edge computing based on flow-guided feature approximation and memory aggregationCode0
Efficient Low-Latency Dynamic Licensing for Deep Neural Network Deployment on Edge Devices—0
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