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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
MoE^2: Optimizing Collaborative Inference for Edge Large Language Models—0
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks—0
PrivaScissors: Enhance the Privacy of Collaborative Inference through the Lens of Mutual Information—0
Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching—0
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