TY  - GEN
N2  - 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.
DO  - 10.1007/978-3-031-28996-5
DO  - doi
AB  - 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.
T1  - Trustworthy federated learning :first International Workshop, FL 2022, held in conjunction with IJCAI 2022, Vienna, Austria, July 23, 2022, Revised selected papers /
DA  - 2023.
CY  - Cham :
AU  - Goebel, Randy.
AU  - Yu, Han
AU  - Faltings, Boi.
AU  - Fan, Lixin
AU  - Xiong, Zehui.
VL  - 13448
CN  - Q325.5
PB  - Springer,
PP  - Cham :
PY  - 2023.
N1  - 4.2 Privacy
ID  - 1461920
KW  - Machine learning
SN  - 9783031289965
SN  - 303128996X
TI  - Trustworthy federated learning :first International Workshop, FL 2022, held in conjunction with IJCAI 2022, Vienna, Austria, July 23, 2022, Revised selected papers /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-28996-5
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-28996-5
ER  -