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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.
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