Federated Learning (FL) enables privacy-preserving fine-tuning of Large Language Models (LLMs), yet the massive communication overhead remains a critical bottleneck. Furthermore, applying Low-Rank Adaptation (LoRA) in FL faces a fundamental “aggregation dilemma” between the accurate Sum-of-Products (SoP) and the commun...
Han Zou, Chao Zhang, Yu-Zhi Yang et al.· IEEE Journal on Selected Are...· 0 citations
A generative formulation for RF sensing, where millimeter-wave/terahertz channel gains are mapped to captions describing multi-level environmental semantics, and this framework achieves superior performance with a broader semantic scope, and enables task-unified sensing beyond predefined tasks.
Tian-Yu Hu, Zhi-Ren Gong, Hao-Wei Cui et al.· IEEE Wireless Communications...· 0 citations
This paper shows that these communication mappings can be derived from a strategic communication game played on a weighted influence network, and predicts that a speaker exaggerates more when their audience is less influenced by them and under strong exaggeration, credible public expression collapses to a binary stance...
Hassan Munif, Anthony Couthures, V. Varma et al.· arXiv.org· 0 citations
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