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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 11–20 of 68 papers

TitleStatusHype
PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational AutoencodersCode0
Private Collaborative Edge Inference via Over-the-Air ComputationCode0
Architectural Vision for Quantum Computing in the Edge-Cloud ContinuumCode0
PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party SettingCode0
CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge CollaborationCode0
Decentralized Low-Latency Collaborative Inference via Ensembles on the EdgeCode0
DuetFace: Collaborative Privacy-Preserving Face Recognition via Channel Splitting in the Frequency DomainCode0
Distributed Mixture-of-Agents for Edge Inference with Large Language ModelsCode0
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference SystemsCode0
Dual Attention Networks for Multimodal Reasoning and MatchingCode0
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