
Overview
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)
Included in the following conference series:
Conference proceedings info: FL 2022.
Access this book
Tax calculation will be finalised at checkout
Other ways to access
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.
Similar content being viewed by others
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
Table of contents (11 papers)
Other volumes
-
Trustworthy Federated Learning
Editors and Affiliations
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
DOI: https://doi.org/10.1007/978-3-031-28996-5
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: 978-3-031-28995-8Published: 29 March 2023
eBook ISBN: 978-3-031-28996-5Published: 28 March 2023
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 159
Number of Illustrations: 4 b/w illustrations, 49 illustrations in colour
Topics: Artificial Intelligence, Systems and Data Security, Computer Applications