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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 401–450 of 1279 papers

TitleStatusHype
DNN Memory Footprint Reduction via Post-Training Intra-Layer Multi-Precision Quantization—0
DNN Partitioning, Task Offloading, and Resource Allocation in Dynamic Vehicular Networks: A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach—0
Bandwidth Slicing to Boost Federated Learning in Edge Computing—0
A Life-long Learning Intrusion Detection System for 6G-Enabled IoV—0
Domain Adaptation-based Edge Computing for Cross-Conditions Fault Diagnosis—0
Advanced Relay-Based Collaborative Framework for Optimizing Synchronization in Split Federated Learning over Wireless Networks—0
DRAGON: Decentralized Fault Tolerance in Edge Federations—0
Continuous GNN-based Anomaly Detection on Edge using Efficient Adaptive Knowledge Graph Learning—0
dRG-MEC: Decentralized Reinforced Green Offloading for MEC-enabled Cloud Network—0
Driving Intelligent IoT Monitoring and Control through Cloud Computing and Machine Learning—0
Contextual Model Aggregation for Fast and Robust Federated Learning in Edge Computing—0
DRLD-SP: A Deep Reinforcement Learning-based Dynamic Service Placement in Edge-Enabled Internet of Vehicles—0
A proof of contribution in blockchain using game theoretical deep learning model—0
Edge Computing for Microgrid via MATLAB Embedded Coder and Low-Cost Smart Meters—0
Dynamic and Memory-efficient Shape Based Methodologies for User Type Identification in Smart Grid Applications—0
Dynamic DNN Decomposition for Lossless Synergistic Inference—0
Dynamic Edge Computing empowered by Reconfigurable Intelligent Surfaces—0
Dynamic Encoding and Decoding of Information for Split Learning in Mobile-Edge Computing: Leveraging Information Bottleneck Theory—0
Edge Computing for Physics-Driven AI in Computational MRI: A Feasibility Study—0
Dynamic Pricing for On-Demand DNN Inference in the Edge-AI Market—0
Benchmarking of CPU-intensive Stream Data Processing in The Edge Computing Systems—0
Dynamic resource allocation scheme for mobile edge computing—0
Dynamic Semantic Compression for CNN Inference in Multi-access Edge Computing: A Graph Reinforcement Learning-based Autoencoder—0
Dynamic Split Computing for Efficient Deep Edge Intelligence—0
Dynamic Task Software Caching-assisted Computation Offloading for Multi-Access Edge Computing—0
Dynamic Transformer Architecture for Continual Learning of Multimodal Tasks—0
DYNAP-SE2: a scalable multi-core dynamic neuromorphic asynchronous spiking neural network processor—0
EarCough: Enabling Continuous Subject Cough Event Detection on Hearables—0
EasyACIM: An End-to-End Automated Analog CIM with Synthesizable Architecture and Agile Design Space Exploration—0
eCAR: edge-assisted Collaborative Augmented Reality Framework—0
Ecomap: Sustainability-Driven Optimization of Multi-Tenant DNN Execution on Edge Servers—0
ECORE: Energy-Conscious Optimized Routing for Deep Learning Models at the Edge—0
EC-SAGINs: Edge Computing-enhanced Space-Air-Ground Integrated Networks for Internet of Vehicles—0
Edge AI-based Radio Frequency Fingerprinting for IoT Networks—0
Edge AI Collaborative Learning: Bayesian Approaches to Uncertainty Estimation—0
Edge AI: Evaluation of Model Compression Techniques for Convolutional Neural Networks—0
Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing—0
Edge-assisted Democratized Learning Towards Federated Analytics—0
Edge-Assisted ML-Aided Uncertainty-Aware Vehicle Collision Avoidance at Urban Intersections—0
Edge-based fever screening system over private 5G—0
Edge-based Parametric Digital Twins for Intelligent Building Indoor Climate Modeling—0
Edge-Based Video Analytics: A Survey—0
Contextual-Bandit Anomaly Detection for IoT Data in Distributed Hierarchical Edge Computing—0
Edge-cloud Collaborative Learning with Federated and Centralized Features—0
Edge-Cloud Collaborative Motion Planning for Autonomous Driving with Large Language Models—0
Containing Analog Data Deluge at Edge through Frequency-Domain Compression in Collaborative Compute-in-Memory Networks—0
A Proactive Management Scheme for Data Synopses at the Edge—0
Edge-Compatible Reinforcement Learning for Recommendations—0
Edge Computing and Communication for Energy-Efficient Earth Surveillance with LEO Satellites—0
Consensus Based Multi-Layer Perceptrons for Edge Computing—0
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