Xiao–Tong Yuan

On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond

2022 · arXiv (Cornell University)

The FedProx algorithm is a simple yet powerful distributed proximal point optimization method widely used for federated learning (FL) over heterogeneous data. Despite its popularity and remarkable success witnessed in practice, the theoretical understanding of …