14 citations · 16 across the 16 of their papers we have counts for
5 papers · 1 filter
FedSwitch: Federated Region Classification From Wireless Channel Measurements
Mattia Piana, Stefano Rini, Stefano Tomasin
Wireless Internet-of-Things (IoT) networks can leverage locally observed channel state information (CSI) at base-stations (BSs) to perform region classification, i.e., infer the re…
The Path Matters: Evaluating Small Language Models Beyond Answer Accuracy in KGQA
Eduin E. Hernandez, Sergio A. Diaz, Luis F. Garcia +2
Small language models (SLMs) are increasingly paired with knowledge graphs (KGs), yet end-to-end KG question answering conflates graph access, search, navigation, reasoning, and an…
Theseus in the Graph: Towards Traceable Multi-Hop Graph Navigation
Eduin E. Hernandez, Luis F. Garcia, Nurassyl Askar +2
Multi-Hop Knowledge Graph Question Answering (KGQA) tasks require models to assemble relational evidence along paths in a KG to answer natural-language questions. However, existing…
NARRAS: Edge-Triggered Distributed Inference for CSI-Based Localization in Vehicular IoT Networks
Rodrigo Oliver, Ricardo Vazquez Alvarez, Alejandro Lancho +1
CSI-based localization with spatially distributed antenna arrays exposes a basic resource trade-off. Each array can provide a rich view of the channel, but forwarding observations…
JGRA: Jacobian Geometry Robustness Assessment in NISQ Noise-Aware Quantum Neural Networks
Gianluca Scanu, Luca Barletta, Stefano Rini
The NISQ era places stringent constraints on quantum computation, where noise and decoherence fundamentally limit performance. In classical deep learning, model robustness and resi…