Federated Multi-View Unsupervised Feature Selection via Bio-Inspired Hierarchical-Cognitive Tianji’s Horse Racing Optimization and Tensor Learning

As multi-view datasets expand across diverse practical fields, feature selection (FS) has become an indispensable preparatory stage for machine learning models. Nevertheless, real-world multi-view data is often unlabeled and distributed among isolated clients, posing significant challenges to tradit...

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Detalhes bibliográficos

Principais autores:	Rong Cheng, Zhiwei Sun, Kun Qi, Wangyu Wu, Lingling Xu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-05-01
coleção:	Biomimetics
Assuntos:	federated learning multi-view unsupervised feature selection Tianji’s horse racing optimization bio-inspired computation tensor learning privacy preservation
Acesso em linha:	https://www.mdpi.com/2313-7673/11/5/312
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