Heterogeneous Federated Reinforcement Learning Using Wasserstein Barycenters

Luiz Pereira, M. Hadi Amini

In this paper, we first propose a novel algorithm for model fusion that leverages Wasserstein barycenters in training a global Deep Neural Network (DNN) in a distributed architectu…