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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 1–10 of 68 papers

TitleStatusHype
Adaptive Termination for Multi-round Parallel Reasoning: An Universal Semantic Entropy-Guided Framework—0
Smaller, Smarter, Closer: The Edge of Collaborative Generative AI—0
A Wireless Collaborated Inference Acceleration Framework for Plant Disease Recognition—0
Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design—0
Jupiter: Fast and Resource-Efficient Collaborative Inference of Generative LLMs on Edge Devices—0
Speculative End-Turn Detector for Efficient Speech Chatbot Assistant—0
G-Boost: Boosting Private SLMs with General LLMs—0
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference SystemsCode0
PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational AutoencodersCode0
DistrEE: Distributed Early Exit of Deep Neural Network Inference on Edge Devices—0
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