Xinchen Lyu

Sharp Bounds for Sequential Federated Learning on Heterogeneous Data

2024 · arXiv (Cornell University)

There are two paradigms in Federated Learning (FL): parallel FL (PFL), where models are trained in a parallel manner across clients, and sequential FL (SFL), where models are trained in a sequential manner across clients. …