Differentially Private Client Selection and Resource Allocation in Federated Learning for Medical Applications Using Graph Neural Networks

Federated learning (FL) has emerged as a pivotal paradigm for training machine learning models across decentralized devices while maintaining data privacy. In the healthcare domain, FL enables collaborative training among diverse medical devices and institutions, enhancing model robustness and gener...

Popoln opis

Bibliografske podrobnosti

Principais autores:	Sotirios C. Messinis, Nicholas E. Protonotarios, Nikolaos Doulamis
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2024-08-01
Serija:	Sensors
Teme:	decentralized federated learning resource allocation differential privacy client selection graph neural networks
Online dostop:	https://www.mdpi.com/1424-8220/24/16/5142
Oznake:	Označite Brez oznak, prvi označite!