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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 31–40 of 68 papers

TitleStatusHype
Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference—0
G-Boost: Boosting Private SLMs with General LLMs—0
Virtual staining of defocused autofluorescence images of unlabeled tissue using deep neural networks—0
Adaptive Early Exiting for Collaborative Inference over Noisy Wireless Channels—0
Adaptive Termination for Multi-round Parallel Reasoning: An Universal Semantic Entropy-Guided Framework—0
An Approach to Inference-Driven Dialogue Management within a Social Chatbot—0
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
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