mccorby/FederatedAndroidTrainer

This is a federated learning application that trains machine learning models on local devices and aggregates updates via a central server. It supports multiple datasets, including Iris and MNIST, and allows configuration of model parameters and server endpoints. The system standardizes data access and model training interfaces to enable distributed gradient-based learning workflows.

mccorby/FederatedAndroidTrainer was measured the same way every project in this corpus was: the same rubric, at a pinned commit, with the result published in full. Point the surveyor at a repository you know and see whether you agree with it.