Pulicharla Data Engineer Staff, Frederick, Maryland, USA

Federated Feature Engineering: PrivacyPreserving ML-Driven Pipelines across Distributed Data Sources

2025 · International Journal of Innovative Research in Science Engineering and Technology

As data privacy regulations grow increasingly stringent, organizations are seeking methods to collaborate on machine learning (ML) initiatives without compromising data confidentiality. Federated learning has emerged as a viable paradigm; however, its success largely hinges …