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machine-learning-diff-private-federated-learning
SAP-samples/machine-learning-diff-private-federated-learning
Simulate a federated setting and run differentially private federated learning.
★393stars
Python
Apache-2.0
Updated: 1mo ago
📋 Project at a Glance
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What's this?A open-source Security & Governance project, built with Python, focusing on differential-privacy and federated-learning
Who made it?Maintained by SAP-samples team, 393⭐ on GitHub, #214 out of 413 in Security & Governance
Why does it exist?With the growing demand for differential-privacy and federated-learning in Security & Governance, SAP-samples created machine-learning-diff-private-federated-learning as a streamlined solution.
What can it do?Key use cases: machine-learning, sample, sample-code
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/SAP-samples/machine-learning-diff-private-federated-learning | 官网 https://arxiv.org/abs/1712.07557v1
🔗 github.com/SAP-samples/machine-learning-diff-private-federated-learning | 官网 https://arxiv.org/abs/1712.07557v1
Topics
differential-privacyfederated-learningmachine-learningsamplesample-codesecurity