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Author

S. Lasaulce

3 papers indexed here

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#machine learning Open access Oct 2026

FedFit: Federated Fine-Tuning of LLMs via Vector-Bank Parameterization and Quantization

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. · 0 citations
Open access Aug 2026

Channel Gains to Captions: Task-Unified Multi-Level RF Sensing With Vision–Language Models

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. · 0 citations
Jul 2026

Network-Induced Strategic Communication in Opinion Dynamics

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. · 0 citations

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