Cano, J., Vilchez, P., Freitag, F., & Navarro, L. (2026). Decentralised Search and Discovery of Digital Product Passports for Circular ICT Goods. Distributed Computing and Artificial Intelligence (DCAI), Special Sessions II, 22nd International Conference. Presented at the. "Cham": "Springer Nature Switzerland". https://doi.org/10.1007/978-3-032-05748-8_17 (Original work published 2026)

Navarro, L., Gallina, V., Freitag, F., Mladek, C., Steinwender, A., & Vilchez, P. (2026). Managing a digital product passport for products with critical raw materials. Procedia Computer Science, 277(2280), 2271-2280. https://doi.org/https://doi.org/10.1016/j.procs.2026.02.264

Solé, J. M., Pueyo, R. C., Freitag, F., Meseguer, R., & Baig, R. (2026). Large and reliable data transfer service for LoRa mesh network applications. Computer Communications, 248, 108404. https://doi.org/10.1016/j.comcom.2025.108404

Griffiths, J., Solé, J. M., Freitag, F., Navarro, L., & Selimi, M. (2025). A system for monitoring and querying LoRa mesh network nodes. 2025 IEEE Symposium on Computers and Communications (ISCC). Presented at the. https://doi.org/10.1109/ISCC65549.2025.11326288

Vilchez, P., Cano, J., Puigdefabregas, C., Freitag, F., & Navarro, L. (2025). Demonstration of a Digital Product Passport System for Second-Hand Electronic Devices. Presented at the. https://doi.org/10.1109/exp.at2565440.2025.11348357

Solé, J. M., Freitag, F., Navarro, L., & Selimi, M. (2025). Demonstration of Concurrent Application Provision with LoRaMesher. Presented at the. https://doi.org/10.1109/exp.at2565440.2025.11348469

Solé, J. M., Pueyo, R. C., Freitag, F., Meseguer, R., & Baig, R. (2025). Middleware for Distributed Applications in a LoRa Mesh Network. ACM Transactions on Embedded Computing Systems, 24. https://doi.org/10.1145/3747295

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

Pueyo, R. C., Meseguer, R., Freitag, F., Baig, R., & Navarro, L. (2024). A minimalistic distance-vector routing protocol for LoRa mesh networks. IEEE Access, 1-1. https://doi.org/10.1109/ACCESS.2024.3443605

Tous., R., Freitag, F., & Berral., J. (2024). On the Relation Between Open Project-Based Learning in Undergraduate Computer Science Education and Contemporary Technological Trends. Presented at the. INSTICC. https://doi.org/10.5220/0012650600003693

Aatab, S., & Freitag, F. (2023). Integrating a Neural Network Library in Embedded Federated Learning. Presented at the. https://doi.org/10.1109/CloudTech58737.2023.10366148

Aatab, S., & Freitag, F. (2023). Towards a Library of Deep Neural Networks for Experimenting with on-Device Training on Microcontrollers. Presented at the. https://doi.org/10.1109/WF-IoT58464.2023.10539445

Francisco, J., Coimbra, M. E., Neto, P. F. R., Freitag, F., & Veiga, L. (2023). Stateful Adaptive Streams with Approximate Computing and Elastic Scaling. Presented at the. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3555776.3577858

Freitag, F., Wei, L., Liu, C.-H., Selimi, M., & Veiga, L. (2023). Server-side Adaptive Federated Learning over Wireless Mesh Network. Presented at the. Cusco, Peru: Springer International Publishing. Retrieved from https://doi.org/10.1007/978-3-031-33261-6_25 (Original work published 2023)

Freitag, F., Solé, J. M., & Meseguer, R. (2023). Position Paper: LoRa Mesh Networks for Enabling Distributed Intelligence on Tiny IoT Nodes. Presented at the. IOS Press. https://doi.org/10.3233/AISE230026

Vilchez, P., Jacques, S., Freitag, F., & Meseguer, R. (2023). LoRaTRUST: Blockchain-Enabled Trust and Accountability Service for IoT Data. Electronics, 12, 1996. https://doi.org/10.3390/electronics12091996

Harillo, E. C., & Freitag, F. (2023). Exploring Blockchain-Based Management For LoRa IoT Nodes. Presented at the. Berlin, Heidelberg: Springer-Verlag. https://doi.org/10.1007/978-3-031-29315-3_9

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

Solé, J. M., Pueyo, R. C., Freitag, F., & Meseguer, R. (2022). Implementation of a LoRa Mesh Library. IEEE Access, 10, 113158-113171. https://doi.org/10.1109/ACCESS.2022.3217215

Pino, D. L., Freitag, F., & Selimi, M. (2022). Designing a Double LoRa Connectivity for the Arduino Portenta H7. Presented at the. https://doi.org/10.1109/LANMAN54755.2022.9820092

Harillo, E. C., & Freitag, F. (2022). LoRaCoin: Towards a blockchain-based platform for managing LoRa devices. 1-2. https://doi.org/10.1109/INFOCOMWKSHPS54753.2022.9798276

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)

Freitag, F., Vilchez, P., Wei, L., Liu, C.-H., & Selimi, M. (2022). Performance Evaluation of Federated Learning Over Wireless Mesh Networks with Low-Capacity Devices. online: Springer International Publishing.