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.
How-To Geek on MSN
Generate realistic test data in Python fast. No dataset required
Learn the NumPy trick for generating synthetic data that actually behaves like real data.
DuckDB is an embedded database, similar to SQLite, but designed for OLAP-style analytics. It is crazy fast and allows you to read and write data stored in CSV, JSON, and Parquet files directly, ...
A new self-propagating malware is on the loose and it's using WhatsApp. Acronis blows the whistle with all the details.
A new WhatsApp Web attack spreads self-propagating ZIP files containing Astaroth banking malware through trusted ...
Abstract: Advanced packaging solutions for wide bandgap power devices, such as silicon carbide (SiC) MOSFETs, can help realize their full potential. Additively printed electronics present a promising ...
Asianet Newsable on MSN
Best AI and data science courses for workflow automation
To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.
Abstract: Random noise suppression can greatly improve the signal-to-noise ratio (SNR) of seismic signals. To suppress random seismic noise, we propose an unsupervised deep neural network (UDNN) ...
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