A Comprehensive Architecture for Federated Learning-Based Smart Advertising

This paper introduces a cutting-edge data architecture designed for a smart advertising context, prioritizing efficient data flow and performance, robust security, while guaranteeing data privacy and integrity. At the core of this study lies the application of federated learning (FL) as the primary...

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Autors principals:	Rasool Seyghaly, Jordi Garcia, Xavi Masip-Bruin
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-06-01
Col·lecció:	Sensors
Matèries:	federated learning smart advertising data architecture privacy preservation edge computing data validation
Accés en línia:	https://www.mdpi.com/1424-8220/24/12/3765
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