Federated Learning trains AI models across multiple devices or organizations without transferring the original data to a central server. Only model updates are shared, preserving data privacy.
Voice AI providers use Federated Learning to improve speech recognition models while protecting sensitive customer conversations. It supports privacy-preserving AI development in regulated industries.