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Trustworthy Federated Learning

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

  • Conference proceedings
  • © 2023

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.

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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.


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Keywords

Table of contents (11 papers)

Other volumes

  1. Trustworthy Federated Learning

Editors and Affiliations

  • University of Alberta, Edmonton, Canada

    Randy Goebel

  • Nanyang Technological University, Singapore, Singapore

    Han Yu

  • 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

  • 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

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