Letter from the Editor in Chief

Varshith Ulisi

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

Healthcare Data in the Digital Age: Balancing Innovation, Privacy, and Ethical Responsibility

Data de Salute in Aetate Digitali: Aequilibrium inter Innovationem, Secretum et Officium Ethicum

Vidya Rajasekhara Reddy Tetala 

There is no doubt that the digital revolution in healthcare has had a profound impact on the way patient data is gathered, analyzed, stored and leveraged. In the era of EHRs, wearables, telemedicine solutions...MORE.