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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 201–225 of 1279 papers

TitleStatusHype
Bandwidth Slicing to Boost Federated Learning in Edge Computing—0
Buffered Asynchronous SGD for Byzantine Learning—0
Bayesian Over-The-Air Computation—0
A Lightweight and Privacy-Preserving Authentication Protocol for Mobile Edge Computing—0
BEdgeHealth: A Decentralized Architecture for Edge-based IoMT Networks Using Blockchain—0
A Lightweight Deep Learning Model for Human Activity Recognition on Edge Devices—0
Benchmarking Deep Learning Models for Object Detection on Edge Computing Devices—0
Benchmarking Edge Computing Devices for Grape Bunches and Trunks Detection using Accelerated Object Detection Single Shot MultiBox Deep Learning Models—0
A Survey on Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions—0
Benchmarking of CPU-intensive Stream Data Processing in The Edge Computing Systems—0
BEV-SGD: Best Effort Voting SGD for Analog Aggregation Based Federated Learning against Byzantine Attackers—0
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning—0
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories—0
Bi-directional Digital Twin and Edge Computing in the Metaverse—0
Binarized Neural Architecture Search for Efficient Object Recognition—0
Bitformer: An efficient Transformer with bitwise operation-based attention for Big Data Analytics at low-cost low-precision devices—0
Blockchain-Based Federated Learning in Mobile Edge Networks with Application in Internet of Vehicles—0
Blockchain-based Pseudonym Management for Vehicle Twin Migrations in Vehicular Edge Metaverse—0
Blockchain-Empowered Cyber-Secure Federated Learning for Trustworthy Edge Computing—0
Blockchain for Secure and Efficient Data Sharing in Vehicular Edge Computing and Networks—0
A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things—0
BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices—0
Block Pruning for Enhanced Efficiency in Convolutional Neural Networks—0
Blue Communications for Edge Computing: the Reconfigurable Intelligent Surfaces Opportunity—0
A Survey on Radio Frequency Identification as a Scalable Technology to Face Pandemics—0
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