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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
Towards Efficient Object Re-Identification with A Novel Cloud-Edge Collaborative Framework—0
Synergy: Towards On-Body AI via Tiny AI Accelerator Collaboration on Wearables—0
Adaptive Early Exiting for Collaborative Inference over Noisy Wireless Channels—0
Semantics-Driven Cloud-Edge Collaborative Inference—0
DeepAdaIn-Net: Deep Adaptive Device-Edge Collaborative Inference for Augmented Reality—0
Limited Communications Distributed Optimization via Deep Unfolded Distributed ADMM—0
DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices—0
Roulette: A Semantic Privacy-Preserving Device-Edge Collaborative Inference Framework for Deep Learning Classification Tasks—0
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks—0
Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation—0
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