Author

Roshan Jameel

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Open access Aug 2026

Investigating Privacy-Preserving Federated Learning for Telecom Customer Churn Prediction Using Differential Privacy

This paper investigates a privacy-preserving approach to churn prediction that combines federated learning (FL) with differential privacy (DP), and highlights the potential of privacy-preserving federated learning for practical distributed analytics applications where protecting sensitive data is essential.

Alisha Sikri, Shalini Gambhir, Roshan Jameel et al. · Information · 0 citations