Accelerated Methods with Complexity Separation Under Data Similarity for Federated Learning Problems

Dmitry Bylinkin, Sergey Skorik, Dmitriy Bystrov +3

Heterogeneity within data distribution poses a challenge in many modern federated learning tasks. We formalize it as an optimization problem involving a computationally heavy compo…