| Fed-XAI: Federated Learning of Explainable Artificial Intelligence Models. JLC Bárcena, M Daole, P Ducange, F Marcelloni, A Renda, F Ruffini, ... XAI. it@ AI* IA, 104-117, 2022 | 52 | 2022 |
| OpenFL-XAI: Federated learning of explainable artificial intelligence models in Python M Daole, A Schiavo, JLC Bárcena, P Ducange, F Marcelloni, A Renda SoftwareX 23, 101505, 2023 | 14 | 2023 |
| An application for federated learning of XAI models in edge computing environments A Bechini, M Daole, P Ducange, F Marcelloni, A Renda 2023 IEEE International Conference on Fuzzy Systems (FUZZ), 1-7, 2023 | 11 | 2023 |
| Trustworthy AI in heterogeneous settings: federated learning of explainable classifiers M Daole, P Ducange, F Marcelloni, A Renda 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-9, 2024 | 7 | 2024 |
| Sketches image analysis: Web image search engine usingLSH index and DNN InceptionV3 A Schiavo, F Minutella, M Daole, MG Gomez arXiv preprint arXiv:2105.01147, 2021 | 4 | 2021 |
| Federated Learning of Explainable Artificial Intelligence Models: A Proof-of-Concept for Video-streaming Quality Forecasting in B5G/6G networks JL Corcuera Barcena, M Daole, P Ducange, F Marcelloni, G Nardini, ... CEUR WORKSHOP PROCEEDINGS 3554, 164-168, 2023 | 1 | 2023 |
| XAIMed: A Diagnostic Support Tool for Explaining AI Decisions on Medical Images M Daole, P Ducange, F Marcelloni, G Miglionico, A Renda, A Schiavo | | 2024 |
| Design and development of a framework supporting Federated Learning of eXplainable AI models in next generation wireless networks M DAOLE | | 2022 |
