The Applicability of Federated Learning to Official Statistics

no code implementations • 28 Jul 2023 • Joshua Stock, Oliver Hauke, Julius Weißmann, Hannes Federrath

This work investigates the potential of Federated Learning (FL) for official statistics and shows how well the performance of FL models can keep up with centralized learning methods. F L is particularly interesting for official statistics because its utilization can safeguard the privacy of data holders, thus facilitating access to a broader range of data.

Federated Learning