OpenMined/TenSEAL
TenSEAL
A library for doing homomorphic encryption operations on tensors
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Jan 25, 2020
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TenSEAL is a library that enables privacy-preserving machine learning by performing homomorphic encryption operations on tensors. It allows computations to be performed on encrypted data without decrypting it, making it suitable for secure multi-party computation and federated learning scenarios. The library provides Python bindings for easy integration with popular ML frameworks.
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Updated 1 months ago
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- Project created
- Jan 25, 2020
- Forked
- Mar 22, 2026
- Your last push
- 1 months ago
- Upstream last push
- 1 months ago
- Tracked since
- Feb 27, 2026
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