Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 67,16
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 69,72
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 71,23
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 69,13
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 68,58
Cantidad disponible: 2 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 76,17
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. 2023. hardcover. . . . . .
Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 75,95
Cantidad disponible: 2 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 94,22
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. 2023. hardcover. . . . . . Books ship from the US and Ireland.
Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Librería: Revaluation Books, Exeter, Reino Unido
EUR 92,16
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 271 pages. 9.25x6.14x0.75 inches. In Stock.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 69,51
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. 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. Privacy-preserving computing aims to protect the personal information of users while capitalizing on the possibilities offered by big data. This practical introduction for students, researchers, and industry practitioners presents a systematic tour of recent advances in privacy-preserving methods for real-world problems in analytics and AI. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Librería: Majestic Books, Hounslow, Reino Unido
EUR 63,81
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand.
Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 69,48
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand 1st edition NO-PA16APR2015-KAP.
Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 63,89
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND.
Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Librería: Revaluation Books, Exeter, Reino Unido
EUR 63,95
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: Brand New. 271 pages. 9.25x6.14x0.75 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Librería: CitiRetail, Stevenage, Reino Unido
EUR 75,11
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. 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. Privacy-preserving computing aims to protect the personal information of users while capitalizing on the possibilities offered by big data. This practical introduction for students, researchers, and industry practitioners presents a systematic tour of recent advances in privacy-preserving methods for real-world problems in analytics and AI. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 108,48
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. 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. Privacy-preserving computing aims to protect the personal information of users while capitalizing on the possibilities offered by big data. This practical introduction for students, researchers, and industry practitioners presents a systematic tour of recent advances in privacy-preserving methods for real-world problems in analytics and AI. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.