3 papers
eess.IV2026
On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning
Kexin Zhang, Lixin Li, Yuna Yan +5
The rapid development of low-altitude economy has driven the proliferation of Unmanned Aerial Vehicle (UAV) applications, including logistics, inspection, and emergency response. H…
cs.LG2024
Semantic Successive Refinement: A Generative AI-aided Semantic Communication Framework
Kexin Zhang, Lixin Li, Wensheng Lin +4
Semantic Communication (SC) is an emerging technology aiming to surpass the Shannon limit. Traditional SC strategies often minimize signal distortion between the original and recon…
cs.AI2024
FSSC: Federated Learning of Transformer Neural Networks for Semantic Image Communication
Yuna Yan, Xin Zhang, Lixin Li +4
In this paper, we address the problem of image semantic communication in a multi-user deployment scenario and propose a federated learning (FL) strategy for a Swin Transformer-base…