In this presentation, we provide an overview of integrating federated learning into 6G communications. We discuss the requirements of 6G communication and core challenges of federated learning for 6G applications, i.e. the need for communication-efficient federated learning, secure federated learning, and effective federated learning. We finally sketch some trade-offs adopted and open research topics.

6G: From Connected Everything to Connected Intelligence through Federated Learning

Cristina De Castro
2021

Abstract

In this presentation, we provide an overview of integrating federated learning into 6G communications. We discuss the requirements of 6G communication and core challenges of federated learning for 6G applications, i.e. the need for communication-efficient federated learning, secure federated learning, and effective federated learning. We finally sketch some trade-offs adopted and open research topics.
2021
Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni - IEIIT
6G
Federated Machine Learning
Internet of Everything
Connected Intelligence
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/449357
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