Differentially Private Machine Learning | Amir Almamma | AI Summit 2025 скачать в хорошем качестве

Differentially Private Machine Learning | Amir Almamma | AI Summit 2025

Join us for an important session on Differentially Private Machine Learning, where we explore how privacy-preserving techniques are being integrated into AI to protect sensitive data without sacrificing model performance. This talk will explain the principles of differential privacy and how it can be applied during model training to ensure individual data points remain confidential. We'll cover key methods like differentially private stochastic gradient descent (DP-SGD). Whether you're a data scientist, researcher, or privacy advocate, this session will provide valuable insights into balancing powerful AI capabilities with ethical data handling. 🎙️ New to streaming or looking to level up? Check out StreamYard and get $10 discount! 😍 https://streamyard.com/pal/d/46872217...