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Trustworthy Federated Learning edited by Randy Goebel, Han Yu, Boi Faltings, Lixin Fan, Zehui Xiong. [electronic resource] :

Contributor(s): Material type: TextTextPublication details: Cham Springer International Publishing 2023Edition: 1st ed. 2023Description: X, 159 p. 53 illus., 49 illus. in color. online resourceISBN:
  • 9783031289965
Subject(s): DDC classification:
  • 6.3
Online resources: Summary: 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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Holdings
Item type Home library Call number Status Notes Date due Barcode Item holds
e-Book e-Book S. R. Ranganathan Learning Hub Online Available Platform:Springer EB2217
Total holds: 0

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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