3 papers
cs.IT2026
Wireless Decentralized Federated Learning via Device Clustering and Inter-Cluster Link Enhancement
William Weijia Zheng, Hang Liu, Ying-Jun Angela Zhang
Decentralized federated learning (DFL) dispenses with the central server of classical FL by utilizing peer-to-peer model exchanges among edge devices. This server-free architecture…
cs.IT2023
Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels
Hang Liu, Jia Yan, Ying-Jun Angela Zhang
Federated learning (FL) enables edge devices to collaboratively train machine learning models, with model communication replacing direct data uploading. While over-the-air model ag…
cs.IT2022
CFLIT: Coexisting Federated Learning and Information Transfer
Zehong Lin, Hang Liu, Ying-Jun Angela Zhang
Future wireless networks are expected to support diverse mobile services, including artificial intelligence (AI) services and ubiquitous data transmissions. Federated learning (FL)…