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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 526–550 of 1279 papers

TitleStatusHype
Computation- and Communication-Efficient Online FL for Resource-Constrained Aerial Vehicles—0
Anti-Byzantine Attacks Enabled Vehicle Selection for Asynchronous Federated Learning in Vehicular Edge Computing—0
Computational Offloading in Semantic-Aware Cloud-Edge-End Collaborative Networks—0
Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision—0
A Novel Neural Network-Based Federated Learning System for Imbalanced and Non-IID Data—0
ADEPOS: Anomaly Detection based Power Saving for Predictive Maintenance using Edge Computing—0
A Comprehensive Survey on Aerial Mobile Edge Computing: Challenges, State-of-the-Art, and Future Directions—0
Computational complexity reduction of deep neural networks—0
Comprehensive Survey of Model Compression and Speed up for Vision Transformers—0
A Novel Framework of Horizontal-Vertical Hybrid Federated Learning for EdgeIoT—0
Edge Computing for IoT: Novel Insights from a Comparative Analysis of Access Control Models—0
Comparison of edge computing methods in Internet of Things architectures for efficient estimation of indoor environmental parameters with Machine Learning—0
A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization—0
A Deep Transfer Learning-based Edge Computing Method for Home Health Monitoring—0
Comparative Analysis of Lightweight Deep Learning Models for Memory-Constrained Devices—0
Energy Efficient Resource Allocation for Mobile-Edge Computation Networks with NOMA—0
Energy-Efficient Processing and Robust Wireless Cooperative Transmission for Edge Inference—0
Compact Recurrent Transformer with Persistent Memory—0
A Novel Access Control and Privacy-Enhancing Approach for Models in Edge Computing—0
Energy-Efficient Offloading in Delay-Constrained Massive MIMO Enabled Edge Network Using Data Partitioning—0
Energy-Efficient Multi-UAV-Enabled MEC Systems over Space-Air-Ground Integrated Networks—0
Energy Efficient Edge Computing: When Lyapunov Meets Distributed Reinforcement Learning—0
Energy-Efficient Dynamic Edge Computing with Electromagnetic Field Exposure Constraints—0
Energy-Efficient Resource Allocation for NOMA enabled MEC Networks with Imperfect CSI—0
Communication-Efficient Edge AI Inference Over Wireless Networks—0
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