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Found 3 papers, 1 papers with code
Extreme compression of sentence-transformer ranker models: faster inference, longer battery life, and less storage on edge devices
Modern search systems use several large ranker models with transformer architectures.
Secure Bayesian Federated Analytics for Privacy-Preserving Trend Detection
Federated analytics has many applications in edge computing, its use can lead to better decision making for service provision, product development, and user experience.
Private Dataset Generation Using Privacy Preserving Collaborative Learning
Therefore, this work introduces a privacy preserving FedCollabNN framework for training machine learning models at edge, which is computationally efficient and robust against adversarial attacks.
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