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