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 ...

Abstract: Citation function analysis is crucial for understanding how cited literature affects the narrative in scientific publications, as citations serve multiple purposes that need accurate ...

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.

Stay in flow with Auto Claude using multi-terminal tools and session restore, so you run tests and pick up where you left off ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...