Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Dezember 2025
Genre:	EDV / Informatik
	Adversarial Machine learning / Automatic control engineering / COMPUTERS / Data Science / Machine Learning / COMPUTERS / Data Science / Neural Networks / COMPUTERS / Internet / Online Safety & Privacy / COMPUTERS / Security / General / differential privacy methods / Digital and information technologies# Legal aspects / Distributed Machine Learning / Legal aspects of IT / neural network security / Neural networks & fuzzy systems / Neural networks and fuzzy systems / Privacy & data protection / Privacy and data protection / privacy protection techniques / secure aggregation protocols / secure collaborative model training mehr...
ISBN:	9781041174622
EAN-Code:	9781041174622
Verlag:	Taylor and Francis
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 216 mm / B 138 mm / D
Gewicht:	320 gr
Seiten:	156
Illustration:	schwarz-weiss Illustrationen, Raster,schwarz-weiss, Zeichnungen, schwarz-weiss
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

As data becomes more abundant and widespread across personal devices, the need for secure, privacy-aware machine learning is growing. Federated Learning (FL) offers a promising solution, enabling smart devices to collaboratively train models without sharing raw data.