Comment by giorgosera

Hey! Hope someone can help me with this question. How does the data exploration phase look like in a federated learning context? Most of the times (most probably always) before applying any ML algorithm we'd look at the data and explore it. How can this be done in this case if data is not available to see? Even in the example in the blog post of Flower the dataset is loaded directly without any pre-processing (which is usually the case in real life).