Youyang Qu – författare
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10 produkter
Tools for Design, Implementation and Verification of Emerging Information Technologies
17th EAI International Conference, TridentCom 2022, Melbourne, Australia, November 23-25, 2022, Proceedings
Häftad, 2023
681 kr
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This book constitutes the refereed post-conference proceedings of the 17th EAI International Conference on Tools for Design, Implementation and Verification of Emerging Information Technologies, TridentCom 2022, which was held in Melbourne, Australia, in November 23-25,2022. The 11 full papers were …
Tools for Design, Implementation and Verification of Emerging Information Technologies
17th EAI International Conference, TridentCom 2022, Melbourne, Australia, November 23-25, 2022, Proceedings
Av Xiaodong Wang, Youyang Qu m. fl.
E-bok, 2023
923 kr
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This book constitutes the refereed post-conference proceedings of the 17 th EAI International Conference on Tools for Design, Implementation and Verification of Emerging Information Technologies, TridentCom 2022, which was held in Melbourne, Australia, in November 23-25,2022. The 11 full papers …
Privacy-Preserving in Edge Computing
Av Longxiang Gao, Tom H. Luan m. fl.
Inbunden, 2021
1692 kr
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With the rapid development of big data, it is necessary to transfer the massive data generated by end devices to the cloud under the traditional cloud computing model. However, the delays caused by massive data transmission no longer meet the requirements of various real-time mobile services. …
Privacy-Preserving in Edge Computing
Av Yong Xiang, Youyang Qu m. fl.
E-bok, 2021
2174 kr
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With the rapid development of big data, it is necessary to transfer the massive data generated by end devices to the cloud under the traditional cloud computing model. However, the delays caused by massive data transmission no longer meet the requirements of various real-time mobile services. …
Privacy-Preserving in Edge Computing
Av Longxiang Gao, Tom H. Luan m. fl.
Häftad, 2022
1692 kr
Lägg i varukorg
With the rapid development of big data, it is necessary to transfer the massive data generated by end devices to the cloud under the traditional cloud computing model. However, the delays caused by massive data transmission no longer meet the requirements of various real-time mobile services. …
Personalized Privacy Protection in Big Data
Av Youyang Qu, Mohammad Reza Nosouhi m. fl.
Inbunden, 2021
737 kr
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This book presents the data privacy protection which has been extensively applied in our current era of big data. However, research into big data privacy is still in its infancy. Given the fact that existing protection methods can result in low data utility and unbalanced trade-offs, personalized …
Personalized Privacy Protection in Big Data
E-bok, 2021
896 kr
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This book presents the data privacy protection which has been extensively applied in our current era of big data. However, research into big data privacy is still in its infancy. Given the fact that existing protection methods can result in low data utility and unbalanced trade-offs, personalized …
Personalized Privacy Protection in Big Data
Av Youyang Qu, Mohammad Reza Nosouhi m. fl.
Häftad, 2022
737 kr
Lägg i varukorg
This book presents the data privacy protection which has been extensively applied in our current era of big data. However, research into big data privacy is still in its infancy. Given the fact that existing protection methods can result in low data utility and unbalanced trade-offs, personalized …
Privacy Preservation in IoT: Machine Learning Approaches
A Comprehensive Survey and Use Cases
Av Youyang Qu, Longxiang Gao m. fl.
Häftad, 2022
607 kr
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This book aims to sort out the clear logic of the development of machine learning-driven privacy preservation in IoTs, including the advantages and disadvantages, as well as the future directions in this under-explored domain. In big data era, an increasingly massive volume of data is generated and …
Privacy Preservation in IoT: Machine Learning Approaches
A Comprehensive Survey and Use Cases
Av Yong Xiang, Shui Yu m. fl.
E-bok, 2022
839 kr
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This book aims to sort out the clear logic of the development of machine learning-driven privacy preservation in IoTs, including the advantages and disadvantages, as well as the future directions in this under-explored domain. In big data era, an increasingly massive volume of data is generated and …
