FD-IDS: Federated Learning with Knowledge Distillation for Intrusion Detection in Non-IID IoT Environments

With the rapid advancement of Internet of Things (IoT) technology, intrusion detection systems (IDSs) have become pivotal in ensuring network security. However, the data produced by IoT devices is typically sensitive and tends to display non-independent and identically distributed (Non-IID) properti...

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Detalhes bibliográficos

Principais autores:	Haonan Peng, Chunming Wu, Yanfeng Xiao
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-07-01
Colecção:	Sensors
Assuntos:	intrusion detection IoT security federated learning knowledge distillation Non-IID feature selection
Acesso em linha:	https://www.mdpi.com/1424-8220/25/14/4309
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