Federated learning is a distributed machine learning paradigm where a global server iteratively aggregates model parameters of local users without directly accessing their data. However, the heterogen
The CIFAR-10 and CIFAR-100 are labeled subsets of the 80 million tiny images dataset. They were collected by Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton. The CIFAR-10 dataset consists of 60000 32
