Pages that link to "Item:Q2198099"
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The following pages link to Privacy preserving multi-party computation delegation for deep learning in cloud computing (Q2198099):
Displaying 11 items.
- Preserving differential privacy in convolutional deep belief networks (Q1698868) (← links)
- SPEED: secure, private, and efficient deep learning (Q2051270) (← links)
- An optimal \((\epsilon, \delta )\)-differentially private learning of distributed deep fuzzy models (Q2055528) (← links)
- Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition (Q2185767) (← links)
- Privacy-preserving distributed deep learning based on secret sharing (Q2663489) (← links)
- Privacy-preserving computation in cyber-physical-social systems: a survey of the state-of-the-art and perspectives (Q2663507) (← links)
- Verifiable inner product computation on outsourced database for authenticated multi-user data sharing (Q2666869) (← links)
- Survey on privacy preserving techniques for machine learning (Q3386296) (← links)
- Differential privacy protection method for deep learning based on WGAN feedback (Q5017311) (← links)
- Enhancing privacy preservation and trustworthiness for decentralized federated learning (Q6127142) (← links)
- Multiparty homomorphic machine learning with data security and model preservation (Q6483807) (← links)
