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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 601–625 of 1279 papers

TitleStatusHype
Federated Ensemble Model-based Reinforcement Learning in Edge Computing—0
Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly—0
Computation Rate Maximization in UAV-Enabled Wireless Powered Mobile-Edge Computing Systems—0
Federated Learning for Metaverse: A Survey—0
A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control—0
Federated Learning in Mobile Edge Computing: An Edge-Learning Perspective for Beyond 5G—0
Exploration of TPUs for AI Applications—0
Federated Learning with Hyperparameter-based Clustering for Electrical Load Forecasting—0
Federated Multi-Agent Actor-Critic Learning for Age Sensitive Mobile Edge Computing—0
Federated Nonconvex Sparse Learning—0
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking Neural Networks for Energy-Efficient Edge Computing—0
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges—0
FederatedTrust: A Solution for Trustworthy Federated Learning—0
Explainability and Continual Learning meet Federated Learning at the Network Edge—0
Computation Offloading in Multi-Access Edge Computing Networks: A Multi-Task Learning Approach—0
A Pervasive Framework for Human Detection and Tracking—0
A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments—0
A Comprehensive System Architecture using Field Programmable Gate Arrays Technology, Dijkstra's Algorithm, and Edge Computing for Emergency Response in Smart Cities—0
FedMS: Federated Learning with Mixture of Sparsely Activated Foundations Models—0
FedParking: A Federated Learning based Parking Space Estimation with Parked Vehicle assisted Edge Computing—0
FedPEAT: Convergence of Federated Learning, Parameter-Efficient Fine Tuning, and Emulator Assisted Tuning for Artificial Intelligence Foundation Models with Mobile Edge Computing—0
FedSAUC: A Similarity-Aware Update Control for Communication-Efficient Federated Learning in Edge Computing—0
A 28-nm Convolutional Neuromorphic Processor Enabling Online Learning with Spike-Based Retinas—0
Federated Learning on Stochastic Neural Networks—0
Experimentally realized in situ backpropagation for deep learning in nanophotonic neural networks—0
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