For algorithms and a benchmark platform that address both data and model heterogeneity, please refer to our extended project Heterogeneous Federated Learning (HtFLlib). As we strive to meet diverse ...

Deep learning (DL) is a type of artificial intelligence (AI) that utilizes artificial neural networks (ANNs) to process data through two or more layers, each of which can ...

Federated learning has great potential to improve AI training in cases where data is scarce and different sources are needed, or when multiple methods of data acquisition and labeling are required.

The Complete A.I. & Machine Learning, Data Science Bootcamp, led by the renowned instructors Andrei Neagoie and Daniel Bourke, is an absolute gem for aspiring data scientists and machine learning ...

Electrification is data-first, not hype-first: Geotab touted its EV Suitability Assessment as a way to help fleets identify the exact vehicles ready for EV replacement, cutting down on ...

This nonprofit helps to foster solutions to challenges for postsecondary education learners, and uses learning data to improve student achievement for more than one million students at 14 partner ...

No data about student’s detailed curricular, co-curricular or extra-curricular learning experiences are captured in UDISE+. Also, UDISE+ is still limited to school level of education ...

The Asian country is witnessing a surge in AI data centers, driven by rising demand for cloud computing, machine learning (ML) and big data analytics. These facilities provide the computational power ...