Abstract: Federated learning (FL) is an innovative privacy-preserving machine learning paradigm that enables clients to train a global model without sharing their local data. However, the coexistence ...

One can argue that the underlying methodology is flawed to the point that the results cannot reasonably claim to represent ...

Abstract: The ability to accurately estimate job runtime properties allows a scheduler to effectively schedule jobs. State-of-the-art online cluster job schedulers use history-based learning, which ...

Imagine, for a moment, that you’re an American pilot flying an F-16 over Iraq. The troops on the ground have been pursuing a small group of Iraqi insurgents. They report that they’ve cornered the ...

Your team has pulled in data from a variety of sources, integrated it into a shared picture of what’s going wrong, and built a plan of attack. Great start. But now the next challenge begins: How do ...

A cluster of mpox cases, involving four family members, has been detected. In a statement today, the health ministry sought to assure that the situation is under control. It said the index case ...

The night of August 14 led to a nightmare situation for Staunton Public Works but a dream come true with community response throughout the weekend. The city’s review of the incident and emergency ...

Imagine you’re strolling through the produce section at the supermarket, on a quest to stock up on the best berries, cherries, or grapes. Many of these are sold in containers that would make it easy ...

This issue proposes the creation of an extensive and well-organized examples gallery for the scikit-sampling library. Currently, the usage examples are limited. A comprehensive gallery will ...

Reading through issues and source, sampling seems to be supported but the documentation in the repo's root doesn't mention "sampling" explicitly Adding examples for these would make it more apparent ...