Combining Federated and Active Learning for Communication-efficient Distributed Failure Prediction in Aeronautics

no code implementations • 21 Jan 2020 • Nicolas Aussel, Sophie Chabridon, Yohan Petetin

To achieve this, we present a new centralized distributed learning algorithm that relies on the learning paradigms of Active Learning and Federated Learning to offer a communication-efficient method that offers guarantees of model precision on both the clients and the central server.

Active Learning Federated Learning