FedSkipTwin: Digital-Twin-Guided Client Skipping for Communication-Efficient Federated Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Commey, Daniel, Abbad, Kamel, Crosby, Garth V., Khoukhi, Lyes
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Distributed, Parallel, and Cluster Computing Networking and Internet Architecture
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Internet

https://arxiv.org/abs/2507.13624