Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown

Federated Learning enables visual models to be trained in a privacy-preserving way using real-world data from mobile devices. Given their distributed nature, the statistics of the…