£43.29

Cambridge University Press Privacy-preserving Computing: for Big Data Analytics and AI

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Last 91 days • 91 data points

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£44.99 £41.89 £42.56 £43.24 £43.92 £44.60 £45.27 25 January 2026 16 February 2026 11 March 2026 02 April 2026 25 April 2026

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Price distribution over 91 days • 3 price levels

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10 days 15 days · current 66 days 0 17 33 50 66 £42 £43 £45 Days at Price

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Most common price: £45 (66 days, 72.5%)

Price range: £42 - £45

Price levels: 3 different prices over 91 days

Description

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.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
16 November 2023
Listed Since
30 May 2023

Barcode

No barcode data available

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