Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation

Su Wang, Mengyuan Lee, Seyyedali Hosseinalipour +3

The conventional federated learning (FedL) architecture distributes machine learning (ML) across worker devices by having them train local models that are periodically aggregated b…