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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 21–30 of 68 papers

TitleStatusHype
An Approach to Inference-Driven Dialogue Management within a Social Chatbot—0
Dictionary Learning over Distributed Models—0
DistrEE: Distributed Early Exit of Deep Neural Network Inference on Edge Devices—0
Distributed Collaborative Inference System in Next-Generation Networks and Communication—0
Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation—0
Adaptive Early Exiting for Collaborative Inference over Noisy Wireless Channels—0
Edge-device Collaborative Computing for Multi-view Classification—0
DVFO: Learning-Based DVFS for Energy-Efficient Edge-Cloud Collaborative Inference—0
EARLIN: Early Out-of-Distribution Detection for Resource-efficient Collaborative Inference—0
A Wireless Collaborated Inference Acceleration Framework for Plant Disease Recognition—0
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