2 documents found, page 1 of 1
International revenue share fraud prediction on the 5G edge using federated lea...
Ferreira, Luís Fernando Faria; Silva, Leopoldo; Morais, Francisco; Martins, Carlos Manuel; Pires, Pedro Miguel; Rodrigues, Helena; Cortez, PauloEdge computing and multi-access edge computing (MEC) are two recent paradigms of distributed computing that are growing due to the rise of the fifth-generation (5G) of broadband cellular networks. The development of edge computing and MEC architectures involves the hosting of applications close to the end-users, allowing: an improved privacy, given that critical data is not shared with other systems; a reduced ...
A federated machine learning approach to detect international revenue share fra...
Ferreira, Luís; Silva, Leopoldo; Pinho, Diana; Morais, Francisco; Martins, Carlos Manuel; Pires, Pedro Miguel; Fidalgo, Pedro; Rodrigues, HelenaThe 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 privacy (e.g., sensitive data is not shared to other systems), the reduction of communication latency, improvement o...