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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
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
DVFO: Learning-Based DVFS for Energy-Efficient Edge-Cloud Collaborative Inference—0
PrivaScissors: Enhance the Privacy of Collaborative Inference through the Lens of Mutual Information—0
Architectural Vision for Quantum Computing in the Edge-Cloud ContinuumCode0
Deep Reinforcement Learning for Trajectory Path Planning and Distributed Inference in Resource-Constrained UAV Swarms—0
Collaborative Inference for AI-Empowered IoT Devices—0
DuetFace: Collaborative Privacy-Preserving Face Recognition via Channel Splitting in the Frequency Domain—0
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