On differential privacy for federated learning in wireless systems with multiple base stations

On differential privacy for federated learning in wireless systems with multiple base stations

Abstract In this work, we consider a federated learning model in a wireless system with multiple base stations and inter‐cell interference. We apply a differentially private scheme to transmit information from users to their corresponding base station during the learning phase. We show the convergen...

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Bibliographic Details
Main Authors: Nima Tavangaran, Mingzhe Chen, Zhaohui Yang, José Mairton B. Da Silva Jr., H. Vincent Poor
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:IET Communications
Subjects:
6G
data privacy
federated learning
optimization
scheduling
wireless channels
Online Access:https://doi.org/10.1049/cmu2.12722

Internet

https://doi.org/10.1049/cmu2.12722

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