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Edge-computing

Deep Learning on EDGE devices

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Showing 926–950 of 1279 papers

TitleStatusHype
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
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