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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
Collaborative Inference for Efficient Remote Monitoring—0
DVFO: Learning-Based DVFS for Energy-Efficient Edge-Cloud Collaborative Inference—0
Collaborative Inference for AI-Empowered IoT Devices—0
Distributed Collaborative Inference System in Next-Generation Networks and Communication—0
DistrEE: Distributed Early Exit of Deep Neural Network Inference on Edge 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
Dictionary Learning over Distributed Models—0
EARLIN: Early Out-of-Distribution Detection for Resource-efficient Collaborative Inference—0
DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices—0
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