You can use Multi-Party Computation (MPC) to enable multiple parties to collaboratively train AI models without exposing their private data to each other.
Here is the code snippet below:

In the above code we are using the following key points:
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Virtual machines to simulate separate data-owning entities
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PySyft's send method to keep data private during computation
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Federated secure aggregation using MPC primitives
Hence, MPC allows collaborative AI training while ensuring each party's data remains confidential.