Author

Javier Huertas-Tato

2 papers indexed here

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#federated learning Book Open access Nov 2026

Less Federation, More Personalization: One-Shot Multi-View Clustering for Federated Fall Detection

A two-stage framework is proposed in which each client first learns label-free representations using FMMVCC, a multi-view clustering encoder that combines reconstruction, cross-view consistency, contrastive learning, and prototype-based objectives, showing strong representation quality and providing competitive perform...

Donato Cerciello, L. Schiavo, Angel Panizo LLedot et al. · 0 citations

#artificial intelligence Preprint Oct 2025

One-shot Style Transfer LLM log-probabilities for Authorship Attribution and Verification

This work introduces an unsupervised framework that uses the log-probabilities of an LLM to measure style transferability between two texts, and proposes an additional mechanism that increases test-time computation to improve accuracy; enabling flexible trade-offs between computational cost and task performance.

Pablo Miralles-González, Javier Huertas-Tato, Alejandro Martín et al. · 3 citations