20 papers
Network-Induced Strategic Communication in Opinion Dynamics
Hassan Munif, Anthony Couthures, Vineeth S. Varma +2
Classical opinion dynamics typically assume a fixed mapping from private opinions to public signals, such as linear exchange, saturated signaling, or discrete public actions. In th…
Social learning community detection with nonlinear interaction
Anthony Couthures, Athira Varma Jayakumar, Vineeth Satheeskumar Varma +3
Conventional community detection requires centralized network data, making it unsuitable for distributed or privacy-preserving systems. In this paper, we demonstrate that macroscop…
ProjQ: Project-and-Quantize for Adapter-Aware LLM Compression
Wenya Yu, Chao Zhang, Li Wang +2
Post-Training Quantization (PTQ) and Low-Rank Adaptation (LoRA) constitute the standard pipeline for efficient Large Language Model (LLM) deployment. However, applying them sequent…
Reading Radio from Camera: Visually-Grounded, Lightweight, and Interpretable RSSI Prediction
Sen Yan, Tianyu Hu, Brahim Mefgouda +2
Accurate, real-time wireless signal prediction is essential for next-generation networks. However, existing vision-based frameworks often rely on computationally intensive models a…
Strategic Gaussian Signaling under Linear Sensitivity Mismatch
Hassan Munif, Vineeth Satheeskumar Varma, Samson Lasaulce
We analyze Stackelberg Gaussian signaling games where the encoder and decoder have a linear sensitivity mismatch. Unlike the standard additive-bias model, a sensitivity mismatch me…
Telecom World Models: Unifying Digital Twins, Foundation Models, and Predictive Planning for 6G
Hang Zou, Yuzhi Yang, Lina Bariah +15
The integration of machine learning tools into telecom networks, has led to two prevailing paradigms, namely, language-based systems, such as Large Language Models (LLMs), and phys…