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

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 convergence behavi...

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Vydané v:	IET communications Ročník 18; číslo 20; s. 1853 - 1867
Hlavní autori:	Tavangaran, Nima, Chen, Mingzhe, Yang, Zhaohui, Da Silva, José Mairton B., Poor, H. Vincent
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Wiley 01.12.2024
Predmet:	Computer Science with specialization in Computer Communication data privacy Datavetenskap med inriktning mot datorkommunikation differential privacy federated learning optimization scheduling wireless channels wireless communications
ISSN:	1751-8628, 1751-8636, 1751-8636
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