1 citations · 1 across the 5 of their papers we have counts for
5 papers
Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning
Zhongwei Wang, Tong Wu, Zhiyong Chen +3
Federated semi-supervised learning (FSSL) is primarily challenged by two factors: the scarcity of labeled data across clients and the non-independent and identically distribution (…
WDMoE: Wireless Distributed Mixture of Experts for Large Language Models
Nan Xue, Yaping Sun, Zhiyong Chen +6
Large Language Models (LLMs) have achieved significant success in various natural language processing tasks, but the role of wireless networks in supporting LLMs has not been thoro…
WDMoE: Wireless Distributed Large Language Models with Mixture of Experts
Nan Xue, Yaping Sun, Zhiyong Chen +5
Large Language Models (LLMs) have achieved significant success in various natural language processing tasks, but how wireless communications can support LLMs has not been extensive…
CDDM: Channel Denoising Diffusion Models for Wireless Semantic Communications
Tong Wu, Zhiyong Chen, Dazhi He +4
Diffusion models (DM) can gradually learn to remove noise, which have been widely used in artificial intelligence generated content (AIGC) in recent years. The property of DM for e…
CDDM: Channel Denoising Diffusion Models for Wireless Communications
Tong Wu, Zhiyong Chen, Dazhi He +4
Diffusion models (DM) can gradually learn to remove noise, which have been widely used in artificial intelligence generated content (AIGC) in recent years. The property of DM for r…