A survey of security threats in federated learning

A survey of security threats in federated learning

Abstract Federated learning is a distributed machine learning paradigm that emerged as a solution to the need for privacy protection in artificial intelligence. Like traditional machine learning, federated learning is threatened by multiple attacks, such as backdoor attacks, Byzantine attacks, and a...

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Bibliographic Details
Main Authors: Yunhao Feng, Yanming Guo, Yinjian Hou, Yulun Wu, Mingrui Lao, Tianyuan Yu, Gang Liu
Format: Article
Language:English
Published: Springer 2025-01-01
Series:Complex & Intelligent Systems
Subjects:
Federated learning
Trustworthy artificial intelligence
Non-IID data
Robust model
Online Access:https://doi.org/10.1007/s40747-024-01664-0
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