Gary Cheng

Fine-tuning in Federated Learning: a simple but tough-to-beat baseline.

2021 · arXiv (Cornell University)

We study the performance of federated learning algorithms and their variants in an asymptotic framework. Our starting point is the formulation of federated learning as a multi-criterion objective, where the goal is to minimize each …