Privacy-enhanced and non-interactive linear regression with dropout-resilience

DOI10.1016/j.ins.2023.02.080MaRDI QIDQ6126686

Mingyun Bian, Guorui Feng, Gang He, Xinpeng Zhang, Yanli Ren

Publication date: 9 April 2024

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

zbMATH Keywords

linear regressiongradient descentfunctional encryptionsecure data aggregationprivacy-enhanced

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Cites Work

• Privacy-preserving ridge regression on distributed data
• Online reinforcement learning multiplayer non-zero sum games of continuous-time Markov jump linear systems
• Joint estimation of conditional quantiles in multivariate linear regression models with an application to financial distress
• Secure and efficient outsourcing computation on large-scale linear regressions
• Fully Secure Functional Encryption for Inner Products, from Standard Assumptions
• Public-Key Cryptosystems Based on Composite Degree Residuosity Classes

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