Backdoor Attack to Giant Model in Fragment-Sharing Federated Learning

Backdoor Attack to Giant Model in Fragment-Sharing Federated Learning

To efficiently train the billions of parameters in a giant model, sharing the parameter-fragments within the Federated Learning (FL) framework has become a popular pattern, where each client only trains and shares a fraction of parameters, extending the training of giant models to the broader resour...

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Bibliographic Details
Main Authors: Senmao Qi, Hao Ma, Yifei Zou, Yuan Yuan, Zhenzhen Xie, Peng Li, Xiuzhen Cheng
Format: Article
Language:English
Published: Tsinghua University Press 2024-12-01
Series:Big Data Mining and Analytics
Subjects:
federated learning (fl)
giant model
backdoor attack
fragment-sharing
Online Access:https://www.sciopen.com/article/10.26599/BDMA.2024.9020035
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