Federated Learning A Primer for Mathematicians /
This book serves as a primer on a secure computing framework known as federated learning. Federated learning is the study of methods to enable multiple parties to collaboratively train machine learning/AI models, while each party retains its own, raw data on-premise, never sharing it with others. Th...
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| Auteur principal: | Kobayashi, Mei (Auteur) |
|---|---|
| Collectivité auteur: | SpringerLink (Online service) |
| Format: | Électronique eBook |
| Langue: | anglais |
| Publié: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2025.
|
| Édition: | 1st ed. 2025. |
| Collection: | ICIAM2023 Springer Series,
4 |
| Sujets: | |
| Accès en ligne: | https://doi.org/10.1007/978-981-96-9223-1 |
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