Hierarchical federated learning (HFL) is a key technology enabling distributed learning with reduced communication overhead. However, practical HFL systems encounter two major challenges: limited ...

Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

Key Takeaways The transition requires upskilling in Python, statistics, and machine learning.Practical experience with ...

While research has highlighted the positive socio-emotional outcomes of SEL programs, their transfer effects on executive functions remain unclear. This pilot cluster-randomized controlled trial ...

Multi-view clustering aims at partitioning data into their underlying categories by mining shared and complementary information conveyed by different views. Although the integration of deep learning ...