Abstract: Federated learning (FL) allows multiple partners to train machine learning models without sharing raw data, thus preserving privacy. Despite its promising aspects, existing FL frameworks ...

Overview The Jupyter notebook system gives Python users a visual, interactive way to run code, display the results, and share the source with others. But Jupyter notebooks have limited interactivity.

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Google Colab and Jupyter Notebook are powerful tools for coding and data analysis, each offering unique features and benefits. Compare them to choose the best fit for your needs. Creating, organizing, ...

Misconfigured data science environments have been targeted by threat actors for sports stream ripping, according to cloud security firm Aqua Security. Honeypots operated by the company showed that ...

In the field of Python-based Data Science projects, the utilization of Jupyter Notebooks is ubiquitous. These interactive and user-friendly environments facilitate seamless integration of code and ...

Researchers have discovered a new attack campaign that compromises Jupyter Notebook instances and deploys cryptojacking malware. The operation uses Discord for command and control and steals AWS and ...

OSCER has a dedicated OnDemand server to help researchers run python code on Jupyter Lab or Jupyter Notebook. If you need to run Jupyter Lab/Notebook with your own customized python environment, we ...

The cumbersome process of using Python code in Microsoft Excel data-driven projects will soon be eased by the company's new "Python in Excel" initiative, currently in public preview. Integrating the ...