4 citations · 10 across the 20 of their papers we have counts for
5 papers · 1 filter
Retrieval-augmented Generation for GenAI-enabled Semantic Communications
Shunpu Tang, Ruichen Zhang, Yuxuan Yan +4
Semantic communication (SemCom) is an emerging paradigm aiming at transmitting only task-relevant semantic information to the receiver, which can significantly improve communicatio…
FeDeRA:Efficient Fine-tuning of Language Models in Federated Learning Leveraging Weight Decomposition
Yuxuan Yan, Qianqian Yang, Shunpu Tang +1
Despite their exceptional performance on various tasks after fine-tuning, pre-trained language models (PLMs) face significant challenges due to growing privacy concerns with data i…
Enhancing Image Privacy in Semantic Communication over Wiretap Channels leveraging Differential Privacy
Weixuan Chen, Shunpu Tang, Qianqian Yang
Semantic communication (SemCom) enhances transmission efficiency by sending only task-relevant information compared to traditional methods. However, transmitting semantic-rich data…
Secure Semantic Communication for Image Transmission in the Presence of Eavesdroppers
Shunpu Tang, Chen Liu, Qianqian Yang +2
Semantic communication (SemCom) has emerged as a key technology for the forthcoming sixth-generation (6G) network, attributed to its enhanced communication efficiency and robustnes…
Evolving Semantic Communication with Generative Model
Shunpu Tang, Qianqian Yang, Deniz Gündüz +1
Recently, learning-based semantic communication (SemCom) has emerged as a promising approach in the upcoming 6G network and researchers have made remarkable efforts in this field.…