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20242026
most citedFeDeRA:Efficient Fine-tuning of Language Models in Federated Learning Leveraging Weight Decomposition

4 citations · 10 across the 20 of their papers we have counts for

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Showing 2025Show all

8 papers · 1 filter

cs.IT2025

Towards Edge General Intelligence: Knowledge Distillation for Mobile Agentic AI

Yuxuan Wu, Linghan Ma, Ruichen Zhang +9

Edge General Intelligence (EGI) represents a paradigm shift in mobile edge computing, where intelligent agents operate autonomously in dynamic, resource-constrained environments. H…

cs.CV2025

DiffusionX: Efficient Edge-Cloud Collaborative Image Generation with Multi-Round Prompt Evolution

Yi Wei, Shunpu Tang, Liang Zhao +1

Recent advances in diffusion models have driven remarkable progress in image generation. However, the generation process remains computationally intensive, and users often need to…

cs.CR2025

Privacy-Preserving Semantic Communication over Wiretap Channels with Learnable Differential Privacy

Weixuan Chen, Qianqian Yang, Shuo Shao +3

While semantic communication (SemCom) improves transmission efficiency by focusing on task-relevant information, it also raises critical privacy concerns. Many existing secure SemC…

cs.CR2025

Enhancing Privacy in Semantic Communication over Wiretap Channels leveraging Differential Privacy

Weixuan Chen, Shunpu Tang, Qianqian Yang +2

Semantic communication (SemCom) improves transmission efficiency by focusing on task-relevant information. However, transmitting semantic-rich data over insecure channels introduce…

cs.IT2025

Enabling Training-Free Semantic Communication Systems with Generative Diffusion Models

Shunpu Tang, Yuanyuan Jia, Qianqian Yang +3

Semantic communication (SemCom) has recently emerged as a promising paradigm for next-generation wireless systems. Empowered by advanced artificial intelligence (AI) technologies,…

cs.NI2025

Covert Prompt Transmission for Secure Large Language Model Services

Ruichen Zhang, Yinqiu Liu, Shunpu Tang +5

This paper investigates covert prompt transmission for secure and efficient large language model (LLM) services over wireless networks. We formulate a latency minimization problem…

cs.IT2025★ 1 cited

Towards Secure Semantic Communications in the Presence of Intelligent Eavesdroppers

Shunpu Tang, Yuhao Chen, Qianqian Yang +3

Semantic communication has emerged as a promising paradigm for enhancing communication efficiency in sixth-generation (6G) networks. However, the broadcast nature of wireless chann…

cs.NI2025★ 2 cited

Toward Agentic AI: Generative Information Retrieval Inspired Intelligent Communications and Networking

Ruichen Zhang, Shunpu Tang, Yinqiu Liu +5

The increasing complexity and scale of modern telecommunications networks demand intelligent automation to enhance efficiency, adaptability, and resilience. Agentic AI has emerged…