Federated Learning of Explainable Artificial Intelligence Models: A Proof-of-Concept for Video-streaming Quality Forecasting in B5G/6G networks

José Luis Corcuera Bárcena, Mattia Daole, Pietro Ducange, Francesco Marcelloni, Giovanni Nardini, Alessandro Renda, Giovanni Stea. Federated Learning of Explainable Artificial Intelligence Models: A Proof-of-Concept for Video-streaming Quality Forecasting in B5G/6G networks. In Luca Longo, editor, Joint Proceedings of the xAI-2023 Late-breaking Work, Demos and Doctoral Consortium co-located with the 1st World Conference on eXplainable Artificial Intelligence (xAI-2023), Lisbon, Portugal, July 26-28, 2023. Volume 3554 of CEUR Workshop Proceedings, pages 164-168, CEUR-WS.org, 2023. [doi]

@inproceedings{BarcenaDDMNRS23,
  title = {Federated Learning of Explainable Artificial Intelligence Models: A Proof-of-Concept for Video-streaming Quality Forecasting in B5G/6G networks},
  author = {José Luis Corcuera Bárcena and Mattia Daole and Pietro Ducange and Francesco Marcelloni and Giovanni Nardini and Alessandro Renda and Giovanni Stea},
  year = {2023},
  url = {https://ceur-ws.org/Vol-3554/paper29.pdf},
  researchr = {https://researchr.org/publication/BarcenaDDMNRS23},
  cites = {0},
  citedby = {0},
  pages = {164-168},
  booktitle = {Joint Proceedings of the xAI-2023 Late-breaking Work, Demos and Doctoral Consortium co-located with the 1st World Conference on eXplainable Artificial Intelligence (xAI-2023), Lisbon, Portugal, July 26-28, 2023},
  editor = {Luca Longo},
  volume = {3554},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}