Increasing trust in AI through privacy preservation and model explainability: Federated Learning of Fuzzy Regression Trees-Reference-Cited by-同舟云学术

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Increasing trust in AI through privacy preservation and model explainability: Federated Learning of Fuzzy Regression Trees

Published:2025-01 Issue: Volume:113 Page:102598
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Corcuera Bárcena José Luis,Ducange Pietro,Marcelloni Francesco,Renda Alessandro^ORCID

Funder

European Union

Publisher

Elsevier BV

Reference53 articles.

1. Communication-efficient learning of deep networks from decentralized data;McMahan,2017

2. Federated machine learning: Concept and applications;Yang;ACM Trans. Intell. Syst. Technol.,2019

3. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI;Arrieta;Inf. Fusion,2020

4. A survey of methods for explaining black box models;Guidotti;ACM Comput. Surv.,2018

5. Principles of explainable artificial intelligence;Guidotti,2021

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