Abstract: Federated Active Learning (FAL) has emerged as a promising framework to leverage large quantities of unlabeled data across distributed clients while preserving data privacy. However, ...

This repository contains the code and resources for the paper Thinker: Learning to Think Fast and Slow, published at NeurIPS 2025. Our work introduces the Thinker task, a novel four-stage ...

Abstract: Due to the randomness of wind energy, this paper applies Model Predictive Control (MPC) to control the wind turbine generator to improve power tracking performance and disturbance rejection ...