Per anno

 @article{ndnfl-fgcs2023,
    author = {Agiollo, Andrea and Enkeleda Bardhi and Mauro Conti and Nicolò Dal Fabbro and Riccardo Lazzeretti},
    doi = {10.1016/j.future.2023.11.009},
    issn = {0167-739X},
    journal = {Future Generation Computer Systems},
    keywords = {Anonymous communication, Federated Learning, Named Data Networking, Privacy-preserving},
    pages = {288--303},
    publisher = {Elsevier},
    note = {Special Issue on Federated Learning on the Edge: Challenges and Future Directions},
    title = {Anonymous Federated Learning via Named-Data Networking},
    url = {https://www.sciencedirect.com/science/article/pii/S0167739X23004144},
    volume = 152,
    year = 2024
} 

 @article{eneafl-fgcs154,
    author = {Agiollo, Andrea and Bellavista, Paolo and Mendula, Matteo and Omicini, Andrea},
    doi = {10.1016/j.future.2024.01.007},
    editor = {Hao Wu and Carlo Puliafito and Omer F. Rana and Luiz F. Bittencourt},
    iris = {11585/953081},
    issn = {0167-739X},
    journal = {Future Generation Computer Systems},
    keywords = {Serverless, Federated Learning, Energy Management, Internet of Things, Resource-constrained Learning},
    month = may,
    note = {Special Issue ``Serverless Computing in the Cloud-to-Edge Continuum''},
    numpages = 16,
    pages = {219--234},
    publisher = {Elsevier Science B.V.},
    scholar = {15164122000920541506},
    scopus = {2-s2.0-85182399653},
    title = {{EneA-FL}: Energy-aware Orchestration for Serverless Federated Learning},
    url = {https://www.sciencedirect.com/science/article/pii/S0167739X24000074},
    volume = 154,
    wos = {WOS:001164533000001},
    year = 2024
}