Adaptive Differential Privacy in Federated Learning Using Gradiant Sensivity Analysis

Privatio Differentialis Adaptiva in Disciplina Foederata per Analysin Sensitivitatis Gradientis

Varshith Ulisi & Uma Maheshwara Ulisi

Federated Learning (FL) is emerging as a robust approach to distributed machine learning where data privacy and decentralized computation are vital. By training models directly on end-user devices and... MORE