Robust and privacy-preserving collaborative training: a comprehensive survey

Robust and privacy-preserving collaborative training: a comprehensive survey

Increasing numbers of artificial intelligence systems are employing collaborative machine learning techniques, such as federated learning, to build a shared powerful deep model among participants, while keeping their training data locally. However, concerns about integrity and privacy in such system...

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Bibliographic Details
Main Authors: Yang, Fei, Zhang, Xu, Guo, Shangwei, Chen, Daiyuan, Gan, Yan, Xiang, Tao, Liu, Yang
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Computer and Information Science
Collaborative learning
Federated learning
Online Access:https://hdl.handle.net/10356/180017

Internet

https://hdl.handle.net/10356/180017

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