In addition to indexes and materialized views, horizontal and vertical partitioning are important aspects of physical design in a relational database system that significantly impact performance.
Abstract: Federated learning (FL) enables multiple organizations to collaboratively train AI models while keeping data separate. Depending on data distribution, FL can be set up horizontally (HFL) or ...