Robust and Privacy-Preserving Decentralized Online Federated Learning for Streaming Data With Outliers
This article addresses the challenging problem of online federated learning (FL) over streaming data in a decentralized communication network. To enable rapid adaptation to new observations, we develop novel nonparametric model-based local training, not deep neural network (DNN)-based approaches as adopted in most prev...