Secure Multiparty Computation (SMPC) Framework
A framework for secure multiparty computation in machine learning.
About
The Secure Multiparty Computation (SMPC) Framework is designed for researchers in machine learning who require secure and privacy-preserving techniques. It facilitates experimentation with machine learning models while ensuring data confidentiality through cryptographic methods. The framework operates under the 'honest but curious' model, allowing multiple parties to perform calculations on encrypted data without revealing the original inputs.
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