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Biblio
] , “Demo: An Experimental Environment Based On Mini-PCs For Federated Learning Research”, 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC). IEEE, Las Vegas, 2022.
, “Demonstration of a library prototype to build LoRa mesh networks for the IoT”, in 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS), 2022.
, “Designing a Double LoRa Connectivity for the Arduino Portenta H7”, in 2022 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN), 2022.
, “Implementation of a LoRa Mesh Library”, IEEE Access, vol. 10, pp. 113158-113171, 2022.
, “LoRaCoin: Towards a blockchain-based platform for managing LoRa devices”, in IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2022, pp. 1-2.
, “On-Device Training of Machine Learning Models on Microcontrollers with Federated Learning”, Electronics, vol. 11, 2022.
, “Performance Evaluation of Federated Learning Over Wireless Mesh Networks with Low-Capacity Devices”, in The 2022 International Conference on Information Technology & Systems, online: Springer International Publishing, 2022, p. 635--645.
, “Towards a Monitoring System for a LoRa Mesh Network”, in 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS), 2022.
, “Embedded federated learning over a LoRa mesh network”, Pervasive and Mobile Computing, vol. 93, p. 101819, 2023.
, “Exploring Blockchain-Based Management For LoRa IoT Nodes”, in Economics of Grids, Clouds, Systems, and Services: 19th International Conference, GECON 2022, Izola, Slovenia, September 13–15, 2022, Proceedings, Berlin, Heidelberg, 2023.
, “Integrating a Neural Network Library in Embedded Federated Learning”, in 2023 IEEE 6th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech), 2023.
, “LoRaTRUST: Blockchain-Enabled Trust and Accountability Service for IoT Data”, Electronics, vol. 12, p. 1996, 2023.
, “Position Paper: LoRa Mesh Networks for Enabling Distributed Intelligence on Tiny IoT Nodes”, in Workshop Proceedings of the 19th International Conference on Intelligent Environments (IE2023), Mauritius, 27-30 June 2023, 2023.
, “Server-side Adaptive Federated Learning over Wireless Mesh Network”, in Information Technology and Systems (ICITS 2023), Cusco, Peru, 2023.
, “Stateful Adaptive Streams with Approximate Computing and Elastic Scaling”, in Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, New York, NY, USA, 2023.
, “Towards a Library of Deep Neural Networks for Experimenting with on-Device Training on Microcontrollers”, in 2023 IEEE 9th World Forum on Internet of Things (WF-IoT), 2023.
, “The Effects of Weight Quantization on Online Federated Learning for the IoT: A Case Study”, IEEE Access, vol. 12, pp. 5490-5502, 2024.
, “On the Relation Between Open Project-Based Learning in Undergraduate Computer Science Education and Contemporary Technological Trends”, in Proceedings of the 16th International Conference on Computer Supported Education - Volume 2: CSEDU, 2024.