Author

Stefan Werner

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Preprint Sep 2026

Compressed LLM Reprogramming for Vision-Aided Beam Prediction in Vehicular Networks

Large Language Model (LLM) reprogramming-based beam prediction demonstrates strong data efficiency by adapting pretrained language models for vehicle-to-infrastructure (V2I) beam prediction, yet the resulting model complexity makes such approaches impractical for latency-sensitive deployment. We propose LLMBP-Lite, a c...

Kai Dong, Lei Wang, Chang-Yi Li et al. · 0 citations

#machine learning Open access Feb 2026

Communication-Efficient Byzantine-Robust Federated Conformal Prediction via Partial Sharing

PRISM-FCP is a communication-efficient Byzantine-robust federated conformal prediction framework that uses partial model sharing to mitigate stochastic model-poisoning attacks during training and histogram-based filtering to mitigate adversarial calibration submissions.

Ehsan Lari, Reza Arablouei, Stefan Werner · IEEE Transactions on Signal... · 0 citations