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

Large-scale multi-view clustering for image data has achieved impressive clustering performance and efficiency. However, most methods lack interpretability in clustering and do not fully consider the ...

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 ...

Conclusion: By innovatively integrating multi-source data and machine learning techniques, this study systematically analyzes the relationship between campus audiovisual environments and attention ...

Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the extreme precision required and the hundreds of steps involved, such as ...