Lixin Fan – författare
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8 produkter
Federated Learning
Privacy and Incentive
Av Qiang Yang, Lixin Fan m. fl.
Häftad, 2020
962 kr
Lägg i varukorg
This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of …
Federated Learning
Privacy and Incentive
E-bok, 2020
1211 kr
Lägg i varukorg
This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of …
Trustworthy Federated Learning
First International Workshop, FL 2022, Held in Conjunction with IJCAI 2022, Vienna, Austria, July 23, 2022, Revised Selected Papers
Av Randy Goebel, Han Yu m. fl.
Häftad, 2023
607 kr
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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 …
Trustworthy Federated Learning
First International Workshop, FL 2022, Held in Conjunction with IJCAI 2022, Vienna, Austria, July 23, 2022, Revised Selected Papers
Av Zehui Xiong, Lixin Fan m. fl.
E-bok, 2023
815 kr
Lägg i varukorg
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 …
Digital Watermarking for Machine Learning Model
Techniques, Protocols and Applications
Av Lixin Fan, Chee Seng Chan m. fl.
Inbunden, 2023
1917 kr
Lägg i varukorg
Machine learning (ML) models, especially large pretrained deep learning (DL) models, are of high economic value and must be properly protected with regard to intellectual property rights (IPR). Model watermarking methods are proposed to embed watermarks into the target model, so that, in the event …
Digital Watermarking for Machine Learning Model
Techniques, Protocols and Applications
Av Qiang Yang, Chee Seng Chan m. fl.
E-bok, 2023
2437 kr
Lägg i varukorg
Machine learning (ML) models, especially large pretrained deep learning (DL) models, are of high economic value and must be properly protected with regard to intellectual property rights (IPR). Model watermarking methods are proposed to embed watermarks into the target model, so that, in the event …
Digital Watermarking for Machine Learning Model : Techniques, Protocols and Applications
2023
667 kr
Lägg i varukorg
Digital Watermarking for Machine Learning Model
Techniques, Protocols and Applications
Av Lixin Fan, Chee Seng Chan m. fl.
Häftad, 2024
1917 kr
Lägg i varukorg
Machine learning (ML) models, especially large pretrained deep learning (DL) models, are of high economic value and must be properly protected with regard to intellectual property rights (IPR). Model watermarking methods are proposed to embed watermarks into the target model, so that, in the event …
