DART: A Solution for decentralized federated learning model robustness analysis

Federated Learning (FL) has emerged as a promising approach to address privacy concerns inherent in Machine Learning (ML) practices. However, conventional FL methods, particularly those following the Centralized FL (CFL) paradigm, utilize a central server for global aggregation, which exhibits limit...

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Autors principals:	Chao Feng, Alberto Huertas Celdrán, Jan von der Assen, Enrique Tomás Martínez Beltrán, Gérôme Bovet, Burkhard Stiller
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2024-09-01
Col·lecció:	Array
Matèries:	Decentralized federated learning Poisoning attack Cybersecurity Model robustness
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2590005624000262
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