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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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6 papers · 1 filter

cs.IT2026

Media Meets Communication in 6G: Fundamentals, Key Technologies, and Applications

Bingyan Xie, Longyu Zhou, Zihan Chen +9

The rapid advancement of sixth-generation (6G) networks is accelerating the convergence of media intelligence and communication intelligence, driving media communication beyond con…

cs.IT2026

Cache-enabled Generative Joint Source-Channel Coding for Evolving Semantic Communications

Shunpu Tang, Qianqian Yang, Jihong Park +3

Learning-based semantic communication (SemCom) has recently emerged as a promising paradigm for improving the transmission efficiency of wireless networks. However, existing method…

cs.IT2026

TCLNet: A Hybrid Transformer-CNN Framework Leveraging Language Models as Lossless Compressors for CSI Feedback

Zijiu Yang, Qianqian Yang, Shunpu Tang +2

In frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems, downlink channel state information (CSI) plays a crucial role in achieving high spectru…

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.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.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…