Applying Federated Learning in Software-Defined Networks: A Survey

Applying Federated Learning in Software-Defined Networks: A Survey

Federated learning (FL) is a type of distributed machine learning approacs that trains global models through the collaboration of participants. It protects data privacy as participants only contribute local models instead of sharing private local data. However, the performance of FL highly relies on...

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Bibliographic Details
Main Authors: Xiaohang Ma, Lingxia Liao, Zhi Li, Roy Xiaorong Lai, Miao Zhang
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Symmetry
Subjects:
federated learning
software-defined network
incentive mechanism
privacy and security
aggregation
Online Access:https://www.mdpi.com/2073-8994/14/2/195

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https://www.mdpi.com/2073-8994/14/2/195

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