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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 1076–1100 of 1279 papers

TitleStatusHype
An Intelligent Edge-Centric Queries Allocation Scheme based on Ensemble Models—0
Discontinuous Computation Offloading for Energy-Efficient Mobile Edge Computing—0
Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement LearningCode1
A Case For Adaptive Deep Neural Networks in Edge ComputingCode1
State-of-the-art Techniques in Deep Edge Intelligence—0
Edge Computing for Real-Time Near-Crash Detection for Smart Transportation Applications—0
Data Synopses Management based on a Deep Learning Model—0
Deep Reinforcement Learning Based Mobile Edge Computing for Intelligent Internet of Things—0
Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged NetworksCode1
Swarm Intelligence for Next-Generation Wireless Networks: Recent Advances and Applications—0
On the Use of Interpretable Machine Learning for the Management of Data Quality—0
Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems—0
A Review on Computational Intelligence Techniques in Cloud and Edge Computing—0
Split Computing for Complex Object Detectors: Challenges and Preliminary ResultsCode1
Proactive Tasks Management based on a Deep Learning Model—0
An Intelligent Scheme for Uncertainty Management of Data Synopses Management in Pervasive Computing Applications—0
A Machine Learning Approach for Task and Resource Allocation in Mobile Edge Computing Based Networks—0
Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge ComputingCode1
Neuromodulated Neural Architectures with Local Error Signals for Memory-Constrained Online Continual Learning—0
Federated Learning in Mobile Edge Computing: An Edge-Learning Perspective for Beyond 5G—0
Information Freshness-Aware Task Offloading in Air-Ground Integrated Edge Computing Systems—0
Joint Multi-User DNN Partitioning and Computational Resource Allocation for Collaborative Edge Intelligence—0
Computation Offloading in Beyond 5G Networks: A Distributed Learning Framework and Applications—0
KubeEdge.AI: AI Platform for Edge Devices—0
Coded Computing for Federated Learning at the Edge—0
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