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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Bibliographic Details
Main Author: Kobayashi, Mei (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Edition:1st ed. 2025.
Series:ICIAM2023 Springer Series, 4
Subjects:
Online Access:https://doi.org/10.1007/978-981-96-9223-1
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