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OverviewFull Product DetailsAuthor: Xiaofeng MengPublisher: Springer Verlag, Singapore Imprint: Springer Verlag, Singapore ISBN: 9789819557868ISBN 10: 9819557860 Publication Date: 25 February 2026 Audience: General/trade , General Format: Hardback Publisher's Status: Forthcoming Availability: Not yet available This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of ContentsPart I Fundamentals Chapter 1: Introduction.- Chapter 2: Data Privacy.- Chapter 3: Data Governance.- Part II Privacy Protection Techniques Chapter 4: Differential Privacy.- Chapter 5: Local Differential Privacy.- Chapter 6: Hybrid Differential Privacy.- Part IIII Privacy in Machine Learning Chapter 7: Privacy Protection in Machine Learning.- Chapter 8: Privacy Protection in Federated Learning.- Chapter 9: Machine Unlearning.- Part IV Data Ecosystem and Data Governance Chapter 10: Data Market.- Chapter 11: Data Monology.- Chapter 12: Data Fairness.- Chapter 13: Data Transparency.ReviewsAuthor InformationXiaofeng Meng is a Professor at Renmin University of China. He is the Fellow of the China Computer Federation (CCF) and Chinese Association of Artificial Intelligence(CAAI). He has received awards such as the First Prize of the CCF Wang Xuan Award (2009) and the Second Prize of the Beijing Science and Technology Award (2011). He has published over 200 papers in domestic and international journals and conferences and has authored five academic books related to his recent research. He holds 20 national invention patents. His recent research interests include database systems, web and mobile data management, data governance, data intelligence, privacy protection, and social computing. Tab Content 6Author Website:Countries AvailableAll regions |
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