We define a standard data structure FLModel that captures the common attributes needed for exchanging learning results.

This is particularly useful when NVFlare system needs to exchange learning information with external training scripts/systems.

The external training script/system only need to extract the required information from received FLModel, run local training, and put the results in a new FLModel to be sent back.

For a detailed explanation of each attributes, please refer to the API doc: FLModel