Edge Cloud as an Enabler for Distributed AI in Industrial IoT Applications: the Experience of the IoTwins Project. - Paolo Bellavista; Alessio Mora (AI&IoT@AI*IA, 2019)

Communication-Efficient Heterogeneous Federated Dropout in Cross-device Settings. - Paolo Bellavista; Luca Foschini 001; Alessio Mora (GLOBECOM, 2021)

Towards an Open Translation Environment for Supporting Translators in the Materials Domain. - Fajar J. Ekaputra; Florina Piroi; Michael Noeske; Jesper Friis; Alessandro Calvio; Natalia A. Konchakova; Raffael Foidl; Welchy Leite Cavalcanti; Luca Foschini 001; Thomas F. Hagelien; Alessio Mora; Casper W. Andersen; et al. (FOMI, 2022)

Federated Learning Algorithms with Heterogeneous Data Distributions: An Empirical Evaluation. - Alessio Mora; Davide Fantini; Paolo Bellavista (SEC, 2022)

Structured Sparse Ternary Compression for Convolutional Layers in Federated Learning. - Alessio Mora; Luca Foschini 001; Paolo Bellavista (VTC Spring, 2022)

Decentralised Learning in Federated Deployment Environments: A System-Level Survey. - Paolo Bellavista; Luca Foschini 001; Alessio Mora (ACM Comput. Surv., 2022)

Game Theoretic Analysis of AoI Efficiency for Participatory and Federated Data Ecosystems. - Alessandro Buratto; Alessio Mora; Armir Bujari; Leonardo Badia (ICC Workshops, 2023)

Concepts and methods for efficient decentralized learning in federated settings. - Alessio Mora (2023)

Membership Proof in Federated Learning via Cryptographic Accumulators. - Carlo Mazzocca; Alessio Mora; Nicolò Romandini; Rebecca Montanari; Paolo Bellavista (BCCA, 2024)

FedUNRAN: On-device Federated Unlearning via Random Labels. - Alessio Mora; Luca Dominici; Paolo Bellavista (IEEE Big Data, 2024)

Knowledge Distillation in Federated Learning: A Practical Guide. - Alessio Mora; Irene Tenison; Paolo Bellavista; Irina Rish (IJCAI, 2024)

FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher. - Alessio Mora; Lorenzo Valerio; Paolo Bellavista; Andrea Passarella (CoRR, 2024)

Enhancing generalization in Federated Learning with heterogeneous data: A comparative literature review. - Alessio Mora; Armir Bujari; Paolo Bellavista (Future Gener. Comput. Syst., 2024)

Is Client Unlearning Really Necessary in Federating Learning? - Alessio Mora; Paolo Bellavista (ICAIIC, 2025)

SparsyFed: Sparse Adaptive Federated Learning. - Adriano Guastella; Lorenzo Sani; Alex Iacob; Alessio Mora; Paolo Bellavista; Nicholas Donald Lane (ICLR, 2025)

SparsyFed: Sparse Adaptive Federated Training. - Adriano Guastella; Lorenzo Sani; Alex Iacob; Alessio Mora; Paolo Bellavista; Nicholas D. Lane (CoRR, 2025)

Federated Unlearning Made Practical: Seamless Integration via Negated Pseudo-Gradients. - Alessio Mora; Carlo Mazzocca; Rebecca Montanari; Paolo Bellavista (CoRR, 2025)

Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics. - Nicolò Romandini; Alessio Mora; Carlo Mazzocca; Rebecca Montanari; Paolo Bellavista (IEEE Trans. Neural Networks Learn. Syst., 2025)