Les xarxes comunitàries busquen una xarxa oberta, lliure i neutral aplicant el principi de
reciprocitat a la interconnexió de nodes per la circulació de continguts i serveis. El grup
investiga on Xarxes Comunitàries (Community Networks), Computació en Núvol Comunitària
(Community Clouds) i Xarxes De Sensors Sense Fils Comunitàries (Community Wireless Sensor
Networks).

Recent Submissions

  • The effects of weight quantization on online federated learning for the IoT: a case study 

    Llisterri Giménez, Nil; Lee, Junkyu; Freitag, Fèlix; Vandierendonck, Hans (Institute of Electrical and Electronics Engineers (IEEE), 2024-01-04)
    Article
    Open Access
    Many weight quantization approaches were explored to save the communication bandwidth between the clients and the server in federated learning using high-end computing machines. However, there is a lack of weight quantization ...
  • Position paper: LoRa mesh networks for enabling distributed intelligence on tiny IoT nodes 

    Freitag, Fèlix; Miquel Solé, Joan; Meseguer Pallarès, Roc (IOS Press, 2023)
    Part of book or chapter of book
    Open Access
    LoRaWAN is a widely used solution in today’s Internet of Things (IoT) applications to connect remote sensor nodes to the Internet. At the same time, microcontroller-based sensor nodes with increased processing capacities ...
  • Server-side adaptive federated learning over wireless mesh network 

    Freitag, Fèlix; Wei, Lu; Liu, Chun-Hung; Selimi, Mennan; Veiga, Luis (Springer, 2023)
    Part of book or chapter of book
    Restricted access - publisher's policy
    In federated learning, distributed nodes train a local machine learning model and exchange it through a central aggregator. In real environments, these training nodes are heterogeneous in computing capacity and bandwidth, ...
  • Integrating a neural network library in embedded federated learning 

    Aatab, Soufiane; Freitag, Fèlix (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference report
    Open Access
    Federated learning has become a popular collaborative machine learning approach in which clients use their local data for training. This results in bandwidth savings since the training data does not have to be transferred ...
  • Stateful adaptive streams with approximate computing and elastic scaling 

    Francisco, João; Coimbra, Miguel E.; Neto, Pedro F.; Freitag, Fèlix; Veiga, Luis (Association for Computing Machinery (ACM), 2023)
    Conference lecture
    Open Access
    The model of approximate computing can be used to increase performance or optimize resource usage in stream and graph processing. It can be used to satisfy performance requirements (e.g., throughput, lag) in stream processing ...
  • Exploring blockchain-based management for LoRa IoT nodes 

    Cruz Harillo, Eloi; Freitag, Fèlix (Springer, 2023)
    Conference report
    Restricted access - publisher's policy
    We consider open IoT applications in which the IoT devices, i.e. sensor nodes and gateways, can be contributed by volunteer participants. Since the contribution of sensor deployments and their data is critical for the value ...
  • Robust proxy sensor model for estimating black carbon concentrations using low-cost sensors 

    Paredes Ahumada, Juan Antonio; Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge; Reche Andúgar, Cristina; Viana Rodríguez, Mar (Association for Computing Machinery (ACM), 2023)
    Conference lecture
    Open Access
    Air quality monitoring sensor networks focusing on air pollution measure pollutants that are regulated by the authorities, such as CO, NO2, NO, SO2, O3, and particulate matter (PM10, PM2.5). However, there are other ...
  • Dataset for anomaly detection in a production wireless mesh community network 

    Cerdà Alabern, Llorenç; Iuhasz, Gabriel (Elsevier, 2023-08)
    Article
    Open Access
    Wireless community networks, WCN, have proliferated around the world. Cheap off-the-shelf WiFi devices have enabled this new network paradigm where users build their own network infrastructure in a do-it-yourself alternative ...
  • Embedded federated learning over a LoRa mesh network 

    Llisterri i Giménez, Nil; Miquel Solé, Joan; Freitag, Fèlix (Elsevier, 2023-06)
    Article
    Open Access
    In on-device training of machine learning models on microcontrollers a neural network is trained on the device. A specific approach for collaborative on-device training is federated learning. In this paper, we propose ...
  • Determining real-time communication feasibility in IoT systems supported by LoRaWAN 

    Micheletto, Matías; Zabala, Paula; Ochoa, Sergio F.; Meseguer Pallarès, Roc; Santos, Rodrigo (Multidisciplinary Digital Publishing Institute (MDPI), 2023-04-26)
    Article
    Open Access
    LoRaWAN is a long range and low power protocol devised for connecting devices under the Internet of Things (IoT) paradigm. This protocol was not conceived to support real-time message delivery; therefore, it is not always ...
  • Reliability analysis in a wireless ISP 

    Cerdà Alabern, Llorenç; Gemmi, Gabriele; Maccari, Leonardo (2023-03-14)
    Research report
    Open Access
    This brief report investigates different quality parameters to assess the reliability in Wireless Internet Service Providers, WISPs. In our analysis we use a Markov chain approach. We investigate the time to failure, failure ...
  • Circular consumption and production of electronic devices: an approach to measuring durability, upgradeability, reusability, obsolescence and premature recycling 

    Franquesa Griso, David; Navarro Moldes, Leandro; Fortelny, Stephan; Roura Salietti, Mireia; Nadeu Ferran, Jordi (Institut universitari de recerca en Ciència i Tecnologies de la Sostenibilitat (ISST.UPC), 2019)
    Conference report
    Open Access
    What is circular consumption of electronics? Is it measurable? Can we set goals or compare with other consumers? A principle of circular economy is durability, prolonging the useful life of products. If we move the principle ...

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