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Edge-computing

Deep Learning on EDGE devices

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Showing 701–750 of 1279 papers

TitleStatusHype
MicroNAS: Zero-Shot Neural Architecture Search for MCUs—0
Microscopy is All You Need—0
Millimeter Wave Radar-based Human Activity Recognition for Healthcare Monitoring Robot—0
MINIMALIST: switched-capacitor circuits for efficient in-memory computation of gated recurrent units—0
Minimizing Age of Information for Mobile Edge Computing Systems: A Nested Index Approach—0
MISA: Unveiling the Vulnerabilities in Split Federated Learning—0
Mist and Edge Computing Cyber-Physical Human-Centered Systems for Industry 5.0: A Cost-Effective IoT Thermal Imaging Safety System—0
Mitigating Challenges of the Space Environment for Onboard Artificial Intelligence: Design Overview of the Imaging Payload on SpIRIT—0
Mitigating Edge Machine Learning Inference Bottlenecks: An Empirical Study on Accelerating Google Edge Models—0
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework—0
Mixed-Precision Federated Learning via Multi-Precision Over-The-Air Aggregation—0
Mobile Edge Computing and AI Enabled Web3 Metaverse over 6G Wireless Communications: A Deep Reinforcement Learning Approach—0
Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices—0
Mobile Edge Computing in Unmanned Aerial Vehicle Networks—0
Mobile Edge Computing, Metaverse, 6G Wireless Communications, Artificial Intelligence, and Blockchain: Survey and Their Convergence—0
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey—0
Mobile Traffic Prediction at the Edge Through Distributed and Deep Transfer Learning—0
Mobility-Aware Computation Offloading for Swarm Robotics using Deep Reinforcement Learning—0
Mobility-Aware Offloading and Resource Allocation in MEC-Enabled IoT Networks—0
Whittle Index based Q-Learning for Wireless Edge Caching with Linear Function Approximation—0
Model-Size Reduction for Reservoir Computing by Concatenating Internal States Through Time—0
MONAS: Efficient Zero-Shot Neural Architecture Search for MCUs—0
Monitoring and Proactive Management of QoS Levels in Pervasive Applications—0
A motion-based compression algorithm for resource-constrained video camera traps—0
MSCET: A Multi-Scenario Offloading Schedule for Biomedical Data Processing and Analysis in Cloud-Edge-Terminal Collaborative Vehicular Networks—0
MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework—0
MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree—0
Multi-Agent Deep Reinforcement Learning Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing—0
Multi-Agent Deep Reinforcement Learning for Safe Autonomous Driving with RICS-Assisted MEC—0
Multi-Agent DRL for Queue-Aware Task Offloading in Hierarchical MEC-Enabled Air-Ground Networks—0
Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems—0
Multi-Agent Reinforcement Learning Based Resource Management in MEC- and UAV-Assisted Vehicular Networks—0
Multi-agent Reinforcement Learning for Resource Allocation in IoT networks with Edge Computing—0
Multi-Armed Bandit for Energy-Efficient and Delay-Sensitive Edge Computing in Dynamic Networks with Uncertainty—0
Multi-Exit Vision Transformer for Dynamic Inference—0
Multi-IRS Aided Mobile Edge Computing for High Reliability and Low Latency Services—0
Neuromodulated Neural Architectures with Local Error Signals for Memory-Constrained Online Continual Learning—0
Multilayer Neuromodulated Architectures for Memory-Constrained Online Continual Learning—0
Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications—0
Multiple Access in the Era of Distributed Computing and Edge Intelligence—0
Multiplierless and Sparse Machine Learning based on Margin Propagation Networks—0
Multi-Task Decision-Making for Multi-User 360 Video Processing over Wireless Networks—0
Multi-Time Scale Service Caching and Pricing in MEC Systems with Dynamic Program Popularity—0
Multi-UAV Mobile Edge Computing and Path Planning Platform based on Reinforcement Learning—0
Multi-user Resource Control with Deep Reinforcement Learning in IoT Edge Computing—0
Multi-view data capture using edge-synchronised mobiles—0
NanoFlowNet: Real-time Dense Optical Flow on a Nano Quadcopter—0
Near-chip Dynamic Vision Filtering for Low-Bandwidth Pedestrian Detection—0
Need of 6G for the Metaverse Realization—0
Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See" More, Farther and Faster—0
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