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Collaborative Inference

In collaborative inference, a single inference task is performed by multiple models distributed on two or more (typically resource-constrained IoT) devices

Papers

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Showing 41–50 of 68 papers

TitleStatusHype
Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge—0
A Wireless Collaborated Inference Acceleration Framework for Plant Disease Recognition—0
C-NMT: A Collaborative Inference Framework for Neural Machine Translation—0
Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation—0
Collaborative Inference for AI-Empowered IoT Devices—0
Collaborative Inference for Efficient Remote Monitoring—0
Roulette: A Semantic Privacy-Preserving Device-Edge Collaborative Inference Framework for Deep Learning Classification Tasks—0
Security Analysis of Capsule Network Inference using Horizontal Collaboration—0
Semantics-Driven Cloud-Edge Collaborative Inference—0
Smaller, Smarter, Closer: The Edge of Collaborative Generative AI—0
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