A Cloud-Native Federated Learning Architecture for Telecom Fraud Detection
S. Raghu Talluri, Qiong Zhang, Rongyi Chen · 2023
We propose a cloud-native federated learning (FL) architecture, where a FL server is built with serverless microservices. We demonstrate this FL framework with a Telecom fraud detection use case, which trains a global model across multiple CSPs. Our results show that the global model trained by FL improves up to 23% in F1-score compared to locally trained models.