Fig. 1: Comparison of Federated Learning and CATphishing workflows.
From: Categorical and phenotypic image synthetic learning as an alternative to federated learning
a Federated Learning trains local models on real data at each center, then aggregates model updates centrally without sharing raw data. b CATphishing trains generative models locally to create synthetic datasets, which are combined and used to train a final centralized machine learning model.
