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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 11–20 of 68 papers

TitleStatusHype
Collaborative Inference for AI-Empowered IoT Devices—0
Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation—0
C-NMT: A Collaborative Inference Framework for Neural Machine Translation—0
Collaborative Inference for Efficient Remote Monitoring—0
Adaptive Early Exiting for Collaborative Inference over Noisy Wireless Channels—0
DistrEE: Distributed Early Exit of Deep Neural Network Inference on Edge Devices—0
DeepAdaIn-Net: Deep Adaptive Device-Edge Collaborative Inference for Augmented Reality—0
An Approach to Inference-Driven Dialogue Management within a Social Chatbot—0
DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices—0
A Wireless Collaborated Inference Acceleration Framework for Plant Disease Recognition—0
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