Fostering Trustworthiness of Federated Learning Ecosystem through Realistic Scenarios

Fostering Trustworthiness of Federated Learning Ecosystem through Realistic Scenarios

The present study thoroughly evaluates the most common blocking challenges faced by the federated learning (FL) ecosystem and analyzes existing state-of-the-art solutions. A system adaptation pipeline is designed to enable the integration of different AI-based tools in the FL system, while FL traini...

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Bibliographic Details
Main Authors: Athanasios Psaltis, Kassiani Zafeirouli, Peter Leškovský, Stavroula Bourou, Juan Camilo Vásquez-Correa, Aitor García-Pablos, Santiago Cerezo Sánchez, Anastasios Dimou, Charalampos Z. Patrikakis, Petros Daras
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Information
Subjects:
federated learning
trustworthiness
privacy-preserving technologies
Online Access:https://www.mdpi.com/2078-2489/14/6/342

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