Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges

Federated learning is a machine learning paradigm that emerges as a solution to the privacy-preservation demands in artificial intelligence. As machine learning, federated learning is threatened by adversarial attacks against the integrity of the learning model and the privacy of data via a distribu...

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Veröffentlicht in:	arXiv.org 2022-01
Hauptverfasser:	Rodríguez-Barroso, Nuria, Daniel Jiménez López, Luzón, M Victoria, Herrera, Francisco, Martínez-Cámara, Eugenio
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Computer Science - Artificial Intelligence Computer Science - Cryptography and Security Computer Science - Learning Guidelines Machine learning Privacy Taxonomy
Online-Zugang:	Volltext
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