Explainability in Federated Learning - Softcover

Dontu, Dr. Sravanthi; Vallabhaneni, Dr. Rohith

Softcover

ISBN 10: 6208443415 ISBN 13: 9786208443412

Verlag: LAP LAMBERT Academic Publishing, 2025

Inhaltsangabe

"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.

Über diesen Titel

Über die Autorin bzw. den Autor

Dr. Sravanthi Dontu and Dr. Rohith Vallabhaneni, both accomplished researchers with Ph.D.s from the University of the Cumberlands, USA, specialize in AI and IT. Their expertise spans cloud computing, cybersecurity, IoT, and software engineering. They have contributed significantly through publications, innovation, leadership, and global connects.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2025
• Sprache: Englisch
• ISBN 10: 6208443415
• ISBN 13: 9786208443412
• Einband: Taschenbuch
• Anzahl der Seiten: 116
• Kontakt zum Hersteller: SIA OmniScriptum Publishing; customerservice@vdm-vsg.de; ; Brivibas gatve 197; Riga; 1039; Lettland