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.

Abstract: AdaBoost approaches have been used for multi-class imbalance classification with an imbalance ratio measured on class sizes. However, such ratio would assign each training sample of the same ...

Custom Apache Spark data sources using the Python Data Source API (Spark 4.0+). Requires Apache Spark 4.0+ or Databricks Runtime 15.4 LTS+.

Learn how to create dynamic, animated graphs in GlowScript using VPython with ease! 📊 This step-by-step tutorial guides you through visualizing data, animating simulations, and mastering interactive ...

Humanities students can now enter data science and AI without an engineering degree. Here’s a clear roadmap to start your tech journey ...

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...

The Open Data QnA python library enables you to chat with your databases by leveraging LLM Agents on Google Cloud. Open Data QnA enables a conversational approach to interacting with your data. Ask ...

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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 ...