A Federated Learning Framework against Data Poisoning Attacks on the Basis of the Genetic Algorithm

A Federated Learning Framework against Data Poisoning Attacks on the Basis of the Genetic Algorithm

Obtaining the balance between information loss and training accuracy is crucial in federated learning. Nevertheless, inadequate data quality will affect training accuracy. Here, to improve the training accuracy without affecting information loss, we propose a malicious data detection model using the...

Full description

Bibliographic Details
Main Authors: Ran Zhai, Xuebin Chen, Langtao Pei, Zheng Ma
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Electronics
Subjects:
federated learning
optimization algorithm
genetic algorithm
data poisoning attack
Online Access:https://www.mdpi.com/2079-9292/12/3/560

Internet

https://www.mdpi.com/2079-9292/12/3/560

Similar Items