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portada Privacy-Preserving Computing: For Big Data Analytics and AI
Type
Physical Book
Language
English
Pages
271
Format
Hardcover
Dimensions
23.0 x 15.2 x 2.2 cm
Weight
0.52 kg.
ISBN13
9781009299510
Edition No.
1

Privacy-Preserving Computing: For Big Data Analytics and AI

Qiang Yang (Author) · Kai Chen (Author) · Cambridge University Press · Hardcover

Privacy-Preserving Computing: For Big Data Analytics and AI - Chen, Kai ; Yang, Qiang

New Book Imported to Austria
Delivery: 29 Jul - 31 Jul Shipping: 4 to 5 business days.
78,86 €57,80 €
-27%
Import costs and 10% VAT included in the price ✅
57,80 €

Synopsis "Privacy-Preserving Computing: For Big Data Analytics and AI"

Privacy-preserving computing aims to protect the personal information of users while capitalizing on the possibilities unlocked by big data. This practical introduction for students, researchers, and industry practitioners is the first cohesive and systematic presentation of the field's advances over four decades. The book shows how to use privacy-preserving computing in real-world problems in data analytics and AI, and includes applications in statistics, database queries, and machine learning. The book begins by introducing cryptographic techniques such as secret sharing, homomorphic encryption, and oblivious transfer, and then broadens its focus to more widely applicable techniques such as differential privacy, trusted execution environment, and federated learning. The book ends with privacy-preserving computing in practice in areas like finance, online advertising, and healthcare, and finally offers a vision for the future of the field.

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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.

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