Secure Multi-Party Computation for Machine Learning: A Survey

Secure Multi-Party Computation for Machine Learning: A Survey

Machine learning is a powerful technology for extracting information from data of diverse nature and origin. As its deployment increasingly depends on data from multiple entities, ensuring privacy for these contributors becomes paramount for the integrity and fairness of machine learning endeavors....

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Bibliographic Details
Main Authors: Ian Zhou, Farzad Tofigh, Massimo Piccardi, Mehran Abolhasan, Daniel Franklin, Justin Lipman
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Multi-party computation
machine learning
federated learning
data privacy
cryptography
protocols
Online Access:https://ieeexplore.ieee.org/document/10498135/

Internet

https://ieeexplore.ieee.org/document/10498135/

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