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Advances and Open Problems in Federated Learning - Peter Kairouz - Bog

af Peter Kairouz

indgår i Foundations and Trends (R) in Machine Learning serien

Advances and Open Problems in Federated Learning af Peter Kairouz
Bag 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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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781680837889
  • Indbinding:
  • Paperback
  • Sideantal:
  • 224
  • Udgivet:
  • 23. Juni 2021
  • Størrelse:
  • 235x156x14 mm.
  • Vægt:
  • 344 g.
  • 2-3 uger.
  • 23. Oktober 2024

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Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

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Beskrivelse af 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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