A federated machine learning approach to detect international revenue share fraud on the 5G edge

The fifth-generation (5G) of broadband cellular networks is giving rise to new paradigms of distributed computing, such as Edge Computing and Multi-access Edge Computing (MEC). The possibility of hosting Machine Learning (ML) applications close to the end-users presents advantages, such as better pr...

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Bibliographic Details
Main Author: Ferreira, Luís (author)
Other Authors: Silva, Leopoldo (author), Pinho, Diana (author), Morais, Francisco (author), Martins, Carlos Manuel (author), Pires, Pedro Miguel (author), Fidalgo, Pedro (author), Rodrigues, Helena (author), Cortez, Paulo (author), Pilastri, André (author)
Format: conferencePaper
Language:eng
Published: 2022
Subjects:
5G networks
edge computing
federated learning
machine learning
multi-access edge computing
Ciências Naturais::Ciências da Computação e da Informação
Online Access:https://hdl.handle.net/1822/79635
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/79635

Internet

https://hdl.handle.net/1822/79635

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