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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 21–30 of 68 papers

TitleStatusHype
Hybrid SD: Edge-Cloud Collaborative Inference for Stable Diffusion Models—0
Private Collaborative Edge Inference via Over-the-Air ComputationCode0
Global-Local Collaborative Inference with LLM for Lidar-Based Open-Vocabulary DetectionCode1
LiveMind: Low-latency Large Language Models with Simultaneous InferenceCode1
Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference—0
Federated Learning for Collaborative Inference Systems: The Case of Early Exit Networks—0
GSCo: Towards Generalizable AI in Medicine via Generalist-Specialist CollaborationCode2
Attention-aware Semantic Communications for Collaborative InferenceCode1
Emergency Computing: An Adaptive Collaborative Inference Method Based on Hierarchical Reinforcement Learning—0
Ensembler: Protect Collaborative Inference Privacy from Model Inversion Attack via Selective Ensemble—0
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