I have faced this situation: I have a large dataset of size 1 TB, but my local drive has the capacity of 500GB. I can train a model only on a smaller subset of the original dataset, but I would like to make use of the whole dataset. So I wonder if there is a method or paper about the training of a model in these kinds of situations.