Abstract: Class imbalance is a recurring problem in machine learning, especially in domains like SME's, healthcare, finance, and fraud detection, where rare but important events are often ...

Abstract: The federated learning (FL) client selection scheme can effectively mitigate global model performance degradation caused by the random aggregation of clients with heterogeneous data.

In this tutorial, we walk through an advanced, end-to-end exploration of Polyfactory, focusing on how we can generate rich, realistic mock data directly from Python type hints. We start by setting up ...

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The newly released draft version 7 of the United States Core Data for Interoperability (USCDI v7) has a focus on patient safety and introduces a new Adverse Events data class with two complementary ...

Data security incidents have been increasing in frequency and prevalence across industries in recent years. In the foodservice sector alone, Panera Bread, Starbucks, and Krispy Kreme all reported ...