Trustworthy Federated Learning
Trustworthy Federated Learning [electronic resource] :
edited by Randy Goebel, Han Yu, Boi Faltings, Lixin Fan, Zehui Xiong.
- 1st ed. 2023.
- Cham Springer International Publishing 2023
- X, 159 p. 53 illus., 49 illus. in color. online resource.
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.
9783031289965
Application software.
Artificial intelligence.
Artificial Intelligence.
Computer and Information Systems Applications.
Computer Application in Social and Behavioral Sciences.
Data and Information Security.
Data protection.
Social sciences
6.3
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.
9783031289965
Application software.
Artificial intelligence.
Artificial Intelligence.
Computer and Information Systems Applications.
Computer Application in Social and Behavioral Sciences.
Data and Information Security.
Data protection.
Social sciences
6.3