| Title:
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PRIVACY-PRESERVING MACHINE LEARNING
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| By: |
Jin Li |
| Format: |
Paperback / softback |
| List price:
|
£49.99 |
| Our price: |
£43.74 |
| Discount: |
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| You save:
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£6.25 |
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| ISBN 10: |
981169138X |
| ISBN 13: |
9789811691386 |
| Availability: |
Usually dispatched within 1-3 weeks.
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| Stock: |
Currently 0 available |
| Publisher: |
SPRINGER VERLAG, SINGAPORE |
| Pub. date: |
15 March, 2022 |
| Edition: |
1st ed. 2022 |
| Series: |
SpringerBriefs on Cyber Security Systems and Networks |
| Pages: |
88 |
| Description: |
This book provides a thorough overview of the evolution of privacy-preserving machine learning schemes over the last ten years, after discussing the importance of privacy-preserving techniques. |
| Illustrations: |
50 Tables, color; 18 Illustrations, color; 3 Illustrations, black and white; VIII, 88 p. 21 illus., 18 illus. in color. |
| Returns: |
Returnable |