Brahmananda Naidu Dabbara

Federated Learning Architectures For Privacy-Preserving Customer Intelligence Across Telecom Networks

This paper presents a privacy-by-design federated learning reference architecture for customer intelligence across telecom networks, in which each operator trains locally on its own CRM, billing, service-interaction, and network-telemetry data and shares only encrypted model updates, never raw records.