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...

Description complète

Enregistré dans:
Détails bibliographiques
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
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
Table des matières:
  • Introduction
  • Multiparty Computation
  • Edge Computing
  • Federated Learning
  • Data Leakage and Data Poisoning.