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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 1226–1250 of 1279 papers

TitleStatusHype
A Wearable Multi-Modal Edge-Computing System for Real-Time Kitchen Activity Recognition—0
Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing—0
Bandwidth Slicing to Boost Federated Learning in Edge Computing—0
Buffered Asynchronous SGD for Byzantine Learning—0
Bayesian Over-The-Air Computation—0
BEdgeHealth: A Decentralized Architecture for Edge-based IoMT Networks Using Blockchain—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
Benchmarking Inference Performance of Deep Learning Models on Analog Devices—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
Blockchain Meets Adaptive Honeypots: A Trust-Aware Approach to Next-Gen IoT Security—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
Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligence—0
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