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Trustworthy AI for Next Generation Networks: the Fed-XAI innovative paradigm from the Hexa-X EU Flagship Project

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  • معلومة اضافية
    • Contributors:
      Ducange, P.; Marcelloni, F.; Micheli, D.; Nardini, G.; Renda, A.; Sabella, D.; Stea, G.; Virdis, A.
    • بيانات النشر:
      CEUR-WS
      DEU
      Aachen
    • الموضوع:
      2023
    • Collection:
      ARPI - Archivio della Ricerca dell'Università di Pisa
    • نبذة مختصرة :
      This work presents the joint research activities on AI in and for 6G carried out by University of Pisa, Intel Corporation Italia s.p.a. and Telecom Italia s.p.a., within the Hexa-X EU project. Specifically, we focus on Federated Learning of Explainable Artificial Intelligence (Fed-XAI), which has been recently awarded as key innovation by the EU Innovation Radar. We present the main recent achievements, that can be summarised in algorithms for generating federated XAI models in a privacy-preserved environment, a communication framework for Federated-Learning-as-a-Service and orchestration algorithms of federated learning participants. Finally, we discuss a proof of concept, that showcases the aforementioned Fed-XAI components.
    • Relation:
      ispartofbook:Ital-IA 2023 Thematic Workshops; 2023 Italia Intelligenza Artificiale - Thematic Workshops, Ital-IA 2023; volume:3486; firstpage:359; lastpage:364; numberofpages:6; serie:CEUR WORKSHOP PROCEEDINGS; https://hdl.handle.net/11568/1214151
    • الرقم المعرف:
      10.5281/zenodo.7989489
    • الدخول الالكتروني :
      https://hdl.handle.net/11568/1214151
      https://doi.org/10.5281/zenodo.7989489
      https://ceur-ws.org/Vol-3486/70.pdf
    • Rights:
      info:eu-repo/semantics/openAccess
    • الرقم المعرف:
      edsbas.CB2E8780