Abstract: Federated learning (FL) is a scheme that enables multiple participants to cooperate to train a high-performance machine learning model in a way that data cannot be exported. FL effectively ...

Clone the LiteWing Library repository from GitHub using the following command: ...

While training for the Paralympics, self-proclaimed data nerd Samantha Bosco wore a sleep tracker, logged her macronutrients and meticulously analyzed her performance data. Already a champion cyclist ...

Abstract: Data imbalance is an important issue in data-driven deep-learning methodologies. In sound event detection (SED), there are two types of data imbalance issues caused by the diverse time ...

This repository contains the source material, code, and data for the book, Computational Methods for Economists using Python, by Richard W. Evans (2023). This book is ...

On February 5, 2026, five Illinois residents filed a class action lawsuit against Microsoft in a federal court in Washington. The plaintiffs, including Alex Basich, Kristin Bondlow, and three others, ...