Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13448)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): FL: International Workshop on Trustworthy Federated Learning
Conference proceedings info: FL 2022.
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About this book
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.
Keywords
- artificial intelligence
- federated learning
- trustworthiness
- personalization
- privacy preservation
- collaborative learning
- applications
- vertical federated learning
- secure aggregation
- social recommendation
- natural gas load forecasting
- distillation
- network protocols
- network security
- privacy preserving
- signal processing
- World Wide Web
Editors and Affiliations
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University of Alberta, Edmonton, Canada
Randy Goebel
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Nanyang Technological University, Singapore, Singapore
Han Yu
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École polytechnique fédérale de Lausanne, Lausanne, Switzerland
Boi Faltings
-
WeBank, Shenzhen, China
Lixin Fan
-
Singapore University of Technology and Design, Singapore, Singapore
Zehui Xiong
Bibliographic Information
Book Title: Trustworthy Federated Learning
Book Subtitle: First International Workshop, FL 2022, Held in Conjunction with IJCAI 2022, Vienna, Austria, July 23, 2022, Revised Selected Papers
Editors: Randy Goebel, Han Yu, Boi Faltings, Lixin Fan, Zehui Xiong
Series Title: Lecture Notes in Computer Science
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-28995-8Due: 06 May 2023
eBook ISBN: 978-3-031-28996-5Due: 06 May 2023
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: VII, 158
Number of Illustrations: 52 b/w illustrations
Topics: Artificial Intelligence, Data and Information Security, Computer Application in Social and Behavioral Sciences, Computer and Information Systems Applications