Researchers have demonstrated a new technique that allows "self-driving laboratories" to collect at least 10 times more data ...

Abstract: Hierarchical federated learning (HFL) is a privacy-preserving distributed machine learning framework with a client-edge-cloud hierarchy, where multiple edge servers perform partial model ...

Abstract: This research paper focuses on the creation and integration of enhanced features into a traffic accident data entry and correction application. We discuss both the initial development of the ...