Venkata Suresh Gummadilli

Privacy Preserving Recommender Systems Balancing Personalization with Privacy

This work presents and evaluates a privacy-preserving recommendation framework that combines federated learning, differential privacy, cohort-level modeling, and privacy-aware intelligent agents, offering a scalable approach for next-generation AI-driven retail platforms.