Abstract: Federated Learning (FL) represents a promising approach to typical privacy concerns associated with centralized Machine Learning (ML) deployments. Despite its well-known advantages, FL is ...

Harvard's free programming classes teach you how to think, debug, and adapt in an AI-driven world where knowing code matters more than ever.

Abstract: This letter presents a semi-parametric approach for learning safe data-driven control barrier functions (SDD-CBFs) for unknown continuous systems from noisy data. By leveraging optimization ...

The system employs HMAC-SHA256 (Hash-based Message Authentication Code using SHA-256) for license integrity verification. SHA-256 refers to the Secure Hash Algorithm producing 256-bit hash values (see ...