Accelerating Federated Learning in Heterogeneous Data and Computational Environments

Dimitris Stripelis, Jose Luis Ambite

There are situations where data relevant to a machine learning problem are distributed among multiple locations that cannot share the data due to regulatory, competitiveness, or pr…