On the Generalization of Wasserstein Robust Federated Learning

In federated learning, participating clients typically possess non-i.i.d. data, posing a significant challenge to generalization to unseen distributions. To address this, we propose a Wasserstein distributionally robust optimization scheme called WAFL. Leveraging its duality, we frame WAFL as an emp...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Nguyen, Tung-Anh, Nguyen, Tuan Dung, Le, Long Tan, Dinh, Canh T, Tran, Nguyen H
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Distributed, Parallel, and Cluster Computing Computer Science - Learning
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!