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Advances and Open Problems in Federated Learning

av Peter Kairouz

del av Foundations and Trends (R) in Machine Learning-serien

Advances and Open Problems in Federated Learning av Peter Kairouz
Om Advances and Open Problems in Federated Learning

The term Federated Learning was coined as recently as 2016 to describe a machine learning setting where multiple entities collaborate in solving a machine learning problem, under the coordination of a central server or service provider. This book describes the latest state-of-the art.

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  • Språk:
  • Engelska
  • ISBN:
  • 9781680837889
  • Format:
  • Häftad
  • Sidor:
  • 224
  • Utgiven:
  • 23. juni 2021
  • Mått:
  • 235x156x14 mm.
  • Vikt:
  • 344 g.
  Fri leverans
Leveranstid: 2-4 veckor
Förväntad leverans: 17. december 2024

Om Peter Kairouz

Se alla böcker av Peter Kairouz

Beskrivning av Advances and Open Problems in Federated Learning

The term Federated Learning was coined as recently as 2016 to describe a machine learning setting where multiple entities collaborate in solving a machine learning problem, under the coordination of a central server or service provider. This book describes the latest state-of-the art.

Användarnas betyg av Advances and Open Problems in Federated Learning



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