Llisterri-Giménez, N., Freitag, F., Navarro, L., & Selimi, M. (2025). A Two-Board Design for Interconnected Intelligence in Tiny IoT. Presented at the. https://doi.org/10.1109/exp.at2565440.2025.11348263

Llisterri-Giménez, N., Freitag, F., Navarro, L., & Selimi, M. (2024). Demo: Edge Federated Learning over a LoRa Mesh Network. Presented at the. https://doi.org/10.1109/SEC62691.2024.00061

Llisterri-Giménez, N., Lee, J., Freitag, F., & Vandierendonck, H. (2024). The Effects of Weight Quantization on Online Federated Learning for the IoT: A Case Study. IEEE Access, 12, 5490-5502. https://doi.org/10.1109/ACCESS.2024.3349557

Llisterri-Giménez, N., Solé, J. M., & Freitag, F. (2023). Embedded federated learning over a LoRa mesh network. Pervasive and Mobile Computing, 93, 101819. https://doi.org/https://doi.org/10.1016/j.pmcj.2023.101819

Llisterri-Giménez, N., Freitag, F., Lee, J., & Vandierendonck, H. (2022). Comparison of Two Microcontroller Boards for On-Device Model Training in a Keyword Spotting Task. 1-4. https://doi.org/10.1109/MECO55406.2022.9797171

Llisterri-Giménez, N., Monfort_Grau, M., Pueyo, R. C., & Freitag, F. (2022). On-Device Training of Machine Learning Models on Microcontrollers with Federated Learning. Electronics, 11. https://doi.org/10.3390/electronics11040573 (Original work published 2022)