P
pfl-research
apple/pfl-research
Simulation framework for accelerating research in Private Federated Learning
★358stars
Jupyter Notebook
Apache-2.0
Updated: 5d ago
📋 Project at a Glance
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What's this?A differential-privacy/federated-learning tool in the Security & Governance category, built with Jupyter Notebook, open-source
Who made it?Maintained by apple team, 358⭐ on GitHub, #220 out of 413 in Security & Governance
Why does it exist?The apple team recognized that existing differential-privacy tools in Security & Governance were hard to use. pfl-research was designed to make federated-learning more accessible.
What can it do?Key use cases: federated-learning-framework, machine-learning, privacy
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/apple/pfl-research | 官网 http://apple.github.io/pfl-research/
🔗 github.com/apple/pfl-research | 官网 http://apple.github.io/pfl-research/
Topics
differential-privacyfederated-learningfederated-learning-frameworkmachine-learningprivacy