Federated Learning at the Edge: Enhancing Privacy and Efficiency in Distributed AI Systems

<p id="p1">The growth of data from edge devices has increased the demand for distributed machine learning frameworks that protect privacy while remaining scalable. Federated learning (FL) enables decentralised model training without sharing raw data. This chapter examines FL in edge computing, focus...

Full description

Bibliographic Details

Main Authors:	Adu-Manu, Kofi Sarpong, Kyeremanteng, Prince Samuel, Ofori, Prince, Adjetey, Charles, Lawson, Pachomius Kwaku, Cobbah, Eugene
Format:	Book Chapter
Language:	English
Published:	IntechOpen 2025
Subjects:	Physical Sciences, Engineering and Technology
Online Access:	https://www.intechopen.com/chapters/1230198
Tags:	Add Tag No Tags, Be the first to tag this record!