This project implements a Federated Random Forest (FRF) using the federated learning library Flower and the sklearn random forest classifier. It is demonstrated through three clients as an example.
Abstract: The gate-all-around field-effect transistors (GAAFETs) are highly susceptible to performance variations caused by process-induced random variation. Line ...
Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...
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