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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...

Täydet tiedot

Tallennettuna:
Päätekijät: Rasool Seyghaly, Jordi Garcia, Xavi Masip-Bruin
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI AG 2024-06-01
Sarja:Sensors
Aiheet:
federated learning
smart advertising
data architecture
privacy preservation
edge computing
data validation
Linkit:https://www.mdpi.com/1424-8220/24/12/3765
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