Trustworthy Federated Learning edited by Randy Goebel, Han Yu, Boi Faltings, Lixin Fan, Zehui Xiong. [electronic resource] :
Material type: TextPublication details: Cham Springer International Publishing 2023Edition: 1st ed. 2023Description: X, 159 p. 53 illus., 49 illus. in color. online resourceISBN:- 9783031289965
- 6.3
Item type | Home library | Call number | Status | Notes | Date due | Barcode | Item holds | |
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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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