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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 41–50 of 68 papers

TitleStatusHype
Roulette: A Semantic Privacy-Preserving Device-Edge Collaborative Inference Framework for Deep Learning Classification Tasks—0
Security Analysis of Capsule Network Inference using Horizontal Collaboration—0
Semantics-Driven Cloud-Edge Collaborative Inference—0
Smaller, Smarter, Closer: The Edge of Collaborative Generative AI—0
Speculative End-Turn Detector for Efficient Speech Chatbot Assistant—0
SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud—0
SplitLLM: Collaborative Inference of LLMs for Model Placement and Throughput Optimization—0
Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design—0
Towards Receiver-Agnostic and Collaborative Radio Frequency Fingerprint Identification—0
Virtual staining of defocused autofluorescence images of unlabeled tissue using deep neural networks—0
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