FLGQM: Robust Federated Learning Based on Geometric and Qualitative Metrics

FLGQM: Robust Federated Learning Based on Geometric and Qualitative Metrics

Federated learning is a distributed learning method that seeks to train a shared global model by aggregating contributions from multiple clients. This method ensures that each client’s local data are not shared with others. However, research has revealed that federated learning is vulnerable to pois...

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Bibliographic Details
Main Authors:	Shangdong Liu, Xi Xu, Musen Wang, Fei Wu, Yimu Ji, Chenxi Zhu, Qurui Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2023-12-01
Series:	Applied Sciences
Subjects:	federated learning poisoning attack robust defense
Online Access:	https://www.mdpi.com/2076-3417/14/1/351

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