Trustworthy Federated Learning First International Workshop, FL 2022, Held in Conjunction with IJCAI 2022, Vienna, Austria, July 23, 2022, Revised Selected Papers

This book constitutes the refereed proceedings of the First International Workshop, FL 2022, Held in Conjunction with IJCAI 2022, held in Vienna, Austria, during July 23-25, 2022. 
The 11 full papers presented in this book were carefully reviewed and selected from 12 submissions. They are organized in three topical sections: answer set programming; adaptive expert models for personalization in federated learning and privacy-preserving federated cross-domain social recommendation.

Product details

• Assisted by: Randy Goebel (Editor), Han Yu (Editor), Zehui Xiong (Editor), Lixin Fan (Editor), Boi Faltings (Editor), Boi Faltings et al (Editor)
• Publisher: Springer, Berlin
• Content: Book
• Product form: Paperback / Softback
• Publication date: 29.03.2023
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > IT
• EAN: 9783031289958
• ISBN: 978-3-0-3128995-8
• Pages: 159
• Illustrations: X, 159 p. 53 illus., 49 illus. in color.
• Dimensions (packing): 15.5 x 0.9 x 23.5 cm
• Series: Lecture Notes in Computer Science > 13448; Lecture Notes in Artificial Intelligence
• Subjects: Computersicherheit, Applications, personalization, Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften, Künstliche Intelligenz (KI), Distillation, Trustworthiness, ArtificialIntelligence, networkprotocols, signalprocessing, collaborativelearning, NetworkSecurity, WorldWideWeb, privacypreservation, FederatedLearning, privacypreserving, secureaggregation, naturalgasloadforecasting, Socialrecommendation, verticalfederatedlearning