The Effect of Training Parameters and Mechanisms on Decentralized Federated Learning based on MNIST Dataset

Zhuofan Zhang, Mi Zhou, Kaicheng Niu +1

Federated Learning is an algorithm suited for training models on decentralized data, but the requirement of a central "server" node is a bottleneck. In this document, we first intr…