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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
Federated Learning for Collaborative Inference Systems: The Case of Early Exit Networks—0
Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference—0
G-Boost: Boosting Private SLMs with General LLMs—0
Hybrid SD: Edge-Cloud Collaborative Inference for Stable Diffusion Models—0
Jupiter: Fast and Resource-Efficient Collaborative Inference of Generative LLMs on Edge Devices—0
Limited Communications Distributed Optimization via Deep Unfolded Distributed ADMM—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
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