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A Fair Federated Learning Framework With Reinforcement Learning
Federated learning (FL) is a paradigm where many clients collaboratively train a model under the coordination of a central server, while keeping the training data locally... -
Classification of the Fashion-MNIST Dataset on a Quantum Computer
The Fashion-MNIST dataset is a multiclass classification dataset. It contains 70,000 28x28 grayscale images, with 10 classes. -
Fashion-MNIST, KMNIST and SVHN datasets
Fashion-MNIST, KMNIST and SVHN datasets used for benchmarking GANs -
CIFAR-10 and Fashion-MNIST
The dataset used in the paper is CIFAR-10 and Fashion-MNIST. -
MNIST, Fashion-MNIST, and Kuzushiji-MNIST
Three public datasets were employed throughout the experiments: MNIST, Fashion-MNIST, and Kuzushiji-MNIST. -
IMAGE DATA
The MNIST, Fashion-MNIST, CIFAR-10, and CelebA datasets are used for image data.
