How could I transform my dataset (composed of images) in a federated dataset? I am trying to create something similar to emnist but for my own dataset. tff.simulation.datasets.emnist.load_data( only_digits=True, cache_dir=None ) Answer You will need to create the clientData object first for example: where create_dataset is a serializable function but first you have to prepare your images read this tutorial
Tag: tensorflow-federated
splitting the data into training and testing in federated learning
I am new in federated learning I am currently experimenting with a model by following the official TFF documentation. But I am stuck with an issue and hope I find some explanation here. I am using my own dataset, the data are distributed in multiple files, each file is a single client (as I am planning to structure the model).