Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Oktober 2024
Genre:	Naturwissensch., Medizin, Technik
	Artificial Intelligence / Artificial Intelligence (AI) / COMPUTERS / Artificial Intelligence / General / Differential Privacy / Healthcare Data Analytics / homomorphic encryption / MEDICAL / Administration / MEDICAL / Informatics / Medical administration & management / Medical administration and management / Medical and health informatics / Medical bioinformatics / model fairness bias / privacy preserving machine learning systems / regulatory compliance healthcare / secure multi-party computation mehr...
ISBN:	9781032689555
EAN-Code:	9781032689555
Verlag:	Taylor and Francis
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 234 mm / B 156 mm / D
Gewicht:	498 gr
Seiten:	252
Illustration:	schwarz-weiss Illustrationen, Raster,schwarz-weiss, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book provides a practical guide to federated deep learning for healthcare including fundamental concepts, framework, and the applications comprising of domain adaptation, model distillation, and transfer learning. It covers concerns in model fairness, data bias, regulatory compliance, and ethical dilemmas.