Articles liés à Explainability in Federated Learning

Explainability in Federated Learning - Couverture souple

Dontu, Dr. Sravanthi; Vallabhaneni, Dr. Rohith

 
9786208443412: Explainability in Federated Learning
Couverture souple
ISBN 10 : 6208443415 ISBN 13 : 9786208443412
Editeur : LAP LAMBERT Academic Publishing, 2025

Synopsis

"Explainability in Federated Learning" offers a comprehensive exploration of integrating explainable AI (XAI) into federated learning (FL) systems. The book begins by outlining the fundamentals of FL and XAI before delving into their intersection, highlighting the challenges and benefits of interpretability in decentralized environments. It presents various explainability techniques tailored to FL, emphasizing personalization, handling of heterogeneous data, and operation in resource-constrained settings. Key chapters address trust, fairness, and transparency, supported by real-world case studies and visualization tools. Ethical, legal, and social implications are discussed alongside adversarial perspectives. The book concludes with benchmarking strategies and future research directions, serving as a vital guide for researchers, developers, and policymakers aiming to build transparent, trustworthy FL models.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2025
Langue
anglais
ISBN 10 
6208443415
ISBN 13 
9786208443412
Reliure
Broché
Nombre de pages
116
Coordonnées du fabricant
non disponible
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