Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Dezember 2023
Genre:	EDV / Informatik
	Artificial Intelligence / Automatic control engineering / Computer architecture & logic design / Computer architecture and logic design / Computer networking & communications / Computer networking and communications / Computer security / COMPUTERS / Machine Theory / decentralized artificial intelligence / Deep Reinforcement Learning / Digital and information technologies# Legal aspects / Electrical Engineering / encrypted parameter aggregation / federated learning healthcare applications / GDPR data compliance / IoT security monitoring / Legal aspects of IT / Machine Learning;Collaborative Learning;Federated Learning / Mathematics / MATHEMATICS / Probability & Statistics / General / privacy preserving algorithms / SCIENCE / Life Sciences / General mehr...
ISBN:	9781032471624
EAN-Code:	9781032471624
Verlag:	Taylor and Francis
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 234 mm / B 156 mm / D
Gewicht:	830 gr
Seiten:	356
Illustration:	schwarz-weiss Illustrationen, farbige Illustrationen, Tabellen, schwarz-weiss
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

Federated learning is a Distributed Machine Learning model that has been used in many applications today. Most edge devices can execute models with local dataset since their computation power is unutilized.