Our Federated Learning

Collaborative Machine Learning
without Centralized Training Data

  • Edge devices improve current models by learning from accessed data

  • The model is updated and sent to the DBC AI Cloud using encrypted communication

  • The data set computes using all updates on the network to improve the shared model

  • The training data remains secured on the provider’s device

  • No individual updates are stored to the cloud