Robust Hierarchical Federated Learning with Anomaly Detection in Cloud-Edge-End Cooperation Networks

Robust Hierarchical Federated Learning with Anomaly Detection in Cloud-Edge-End Cooperation Networks

Federated learning (FL) enables devices to collaborate on machine learning (ML) model training with distributed data while preserving privacy. However, the traditional FL is inefficient and costly in cloud–edge–end cooperation networks since the adopted classical <i>client-server</i> com...

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Bibliographic Details
Main Authors: Yujie Zhou, Ruyan Wang, Xingyue Mo, Zhidu Li, Tong Tang
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Electronics
Subjects:
federated learning
hierarchical architecture
security preserving
anomaly detection
cosine similarity
Online Access:https://www.mdpi.com/2079-9292/12/1/112

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https://www.mdpi.com/2079-9292/12/1/112

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