Sale 11%
Apple Academic Press
Federated Learning : Principles, Paradigms, and Applications
Product Code:
9781774916384
ISBN13:
9781774916384
Condition:
New
$209.08
Explains federated learning and how it integrates AI technologies allowing multiple collaborators to build a robust machine-learning model using a large dataset. Describes benefits of federated learning, covering data privacy, data security, data access rights etc. Analyses common challenges, and attack strategies affecting FL systems.
| Author: Jayakrushna Sahoo, Mariya Ouaissa, Akarsh K Nair |
| Publisher: Apple Academic Press |
| Publication Date: Sep 20, 2024 |
| Number of Pages: NA pages |
| Language: English |
| Binding: Hardcover |
| ISBN-10: 177491638X |
| ISBN-13: 9781774916384 |
Federated Learning : Principles, Paradigms, and Applications
$209.08
Explains federated learning and how it integrates AI technologies allowing multiple collaborators to build a robust machine-learning model using a large dataset. Describes benefits of federated learning, covering data privacy, data security, data access rights etc. Analyses common challenges, and attack strategies affecting FL systems.
| Author: Jayakrushna Sahoo, Mariya Ouaissa, Akarsh K Nair |
| Publisher: Apple Academic Press |
| Publication Date: Sep 20, 2024 |
| Number of Pages: NA pages |
| Language: English |
| Binding: Hardcover |
| ISBN-10: 177491638X |
| ISBN-13: 9781774916384 |
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