Dynamic Bandwidth Slicing in Passive Optical Networks to Empower Federated Learning

Federated Learning (FL) is a decentralized machine learning method in which individual devices compute local models based on their data. In FL, devices periodically share newly trained updates with the central server, rather than submitting their raw data. The key characteristics of FL, including on...

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Autores principales:	Alaelddin F. Y. Mohammed, Joohyung Lee, Sangdon Park
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2024-08-01
Colección:	Sensors
Materias:	federated learning PON DBA bandwidth management 6G
Acceso en línea:	https://www.mdpi.com/1424-8220/24/15/5000
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