How can SMPC be leveraged to allow multiple parties to collaborate on AI training while preserving data privacy

Question

With the help of code can i know How can SMPC be leveraged to allow multiple parties to collaborate on AI training while preserving data privacy?

Answer 1

You can leverage Secure Multi-Party Computation (SMPC) to allow multiple parties to jointly train AI models without exposing their individual datasets.

Here is the code snippet below:

In the above code we are using the following key points:

• PySyft to simulate a federated learning environment with virtual workers.

• fix_precision().share(...) for secure and private tensor sharing between parties.

• Training without ever revealing the raw data to either party.

Hence, SMPC facilitates privacy-preserving collaborative AI by securely partitioning computations across data holders.