For the local dataset, we set a default batch size of 100, as studies indicate that when sample sizes exceed 80, moment-based skewness estimation remains accurate for a mixture of two Gaussian distributions. For the global dataset, we define the batch size as 100n, where n represents the current number of iterations, ensuring alignment between batch counts in the local and global datasets.