Privacy-preserving Frank-Wolfe on shuffle model

DOI10.1007/s10255-024-1095-6MaRDI QIDQ6639483

Shi-song Wu, Ling-jie Zhang, Hai Zhang

Publication date: 15 November 2024

Published in: Acta Mathematicae Applicatae Sinica. English Series (Search for Journal in Brave)

zbMATH Keywords

differential privacyFrank-Wolfe algorithmprivacy amplificationshuffle model

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12) Applications of mathematical programming (90C90) Distributed algorithms (68W15)

Cites Work

• Unregularized online learning algorithms with general loss functions
• Distributed differential privacy via shuffling
• The privacy blanket of the shuffle model
• Differentially private SGD with non-smooth losses
• What Can We Learn Privately?
• Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds
• The Algorithmic Foundations of Differential Privacy
• The Composition Theorem for Differential Privacy
• Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity
• Understanding Machine Learning
• Proximité et dualité dans un espace hilbertien
• Theory of Cryptography
• Privacy-preserving federated learning on lattice quantization

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