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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...

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Hoofdauteurs: Rasool Seyghaly, Jordi Garcia, Xavi Masip-Bruin
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2024-06-01
Reeks:Sensors
Onderwerpen:
federated learning
smart advertising
data architecture
privacy preservation
edge computing
data validation
Online toegang:https://www.mdpi.com/1424-8220/24/12/3765
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