dist-mech-learn
A software tool for implementing privacy-preserving distributed data usage through distributed mechanism learning techniques.
Product Information
- Description
- Dist-mech-learn enables organizations to collaboratively analyze sensitive datasets while maintaining strict privacy controls through distributed mechanism learning. This open-source tool implements algorithms that allow multiple parties to train machine learning models on their combined data without ever sharing raw information between entities. Key features include decentralized computation protocols, differential privacy guarantees, and secure aggregation techniques that prevent data reconstruction from model updates. It's particularly valuable for healthcare research, financial fraud detection, and cross-organizational analytics where data cannot be centralized due to regulatory constraints or competitive concerns. The software provides a practical implementation of privacy-preserving distributed learning with documented APIs and modular architecture for integration into existing data pipelines.
- Maintainer
- degregat individual
- License
- Apache-2.0
- Last Activity
- 2023-04-26
- Categories
- Decentralized/Blockchain Identity & Middleware
Linked NGI Projects
This product was created or improved through NGI-funded projects
Often Used Together
Products commonly used alongside dist-mech-learn
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