Deep Learning

In 2PM.Network, the process of defining a Fully Homomorphic Encryption (FHE) Machine Learning computation task aligns with the ZAMA Concrete ML. Once defined, the computation task can be dispatched to nodes for processing via the Node API. This integration streamlines the workflow, ensuring a seamless transition from task creation to execution within the 2PM.Network environment.

For how to define a task to train Deep Learning Models, please refer to ZAMA Concrete ML Docs:

Using Torch

Using ONNX