Energy-Efficient Hierarchical Federated Anomaly Detection for the Internet of Underwater Things via Selective Cooperative Aggregation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Omeke, Kenechi, Mollel, Michael, Zhang, Lei, Abbasi, Qammer H., Imran, Muhammad Ali
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Internet

https://arxiv.org/abs/2603.24648