Shared Pattern

Analytical: Connected
Data Movement: Model Parameters

The most common method to undertake federated learning is for the model parameters to be passed via a central node, or directly between the TREs. The key difference for a TRE is that results are combined and shared between other TREs, therefore there is a higher trust required between the TREs, as they must trust the sharing of model parameters with the researcher and the TREs.