Privacy-preserving distributed deep learning based on secret sharing

DOI10.1016/J.INS.2020.03.074zbMath1458.68195OpenAlexW3013981106MaRDI QIDQ2663489

Yuanman Li, Jia Duan, Jiantao Zhou

Publication date: 19 April 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.03.074

zbMATH Keywords

secret sharingsecure multi-party computationprivacy preservationdeep neural networkdistributed deep learning

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Modes of computation (nondeterministic, parallel, interactive, probabilistic, etc.) (68Q10) Authentication, digital signatures and secret sharing (94A62) Privacy of data (68P27)

Related Items (1)

A finite time discrete distributed learning algorithm using stochastic configuration network

Uses Software

• ImageNet
• DeepFace
• FaceNet
• AdaGrad
• AlexNet
• STL-10 dataset

Cites Work

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• AlexNet
• A trainable feature extractor for handwritten digit recognition
• Privacy preserving multi-party computation delegation for deep learning in cloud computing
• Privacy Preserving Deep Computation Model on Cloud for Big Data Feature Learning
• Secure Optimization Computation Outsourcing in Cloud Computing: A Case Study of Linear Programming
• How to share a secret
• Fully Homomorphic Encryption over the Integers

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