Alessio Mora

24 papers A* 2B 3Misc 2Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2026 Misc conf
FedAdapt-CAD: A Federated Learning Framework for Anomaly Detection with Client-Aware Aggregation and Dynamic Model Adaptation.
ICNC
Muhammad Azaz Farooq, Paolo Bellavista, Armir Bujari, Alessio Mora, Jamal Nasir, Rohma Ahmed
2026 J jnl
Game Theoretic Analysis of Age of Federated Information for Participatory Data Ecosystems.
IEEE Trans. Ind. Informatics
Alessandro Buratto, Alessio Mora, Armir Bujari, Leonardo Badia
2025 J jnl
Federated Unlearning Made Practical: Seamless Integration via Negated Pseudo-Gradients.
CoRR
Alessio Mora, Carlo Mazzocca, Rebecca Montanari, Paolo Bellavista
2025 B conf
Federated Unlearning in Healthcare: Why It Matters.
IJCNN
Alessio Mora, Carlo Mazzocca, Rebecca Montanari, Paolo Bellavista
2025 J jnl
Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics.
IEEE Trans. Neural Networks Learn. Syst.
Nicolò Romandini, Alessio Mora, Carlo Mazzocca, Rebecca Montanari, Paolo Bellavista
2025 J jnl
I Trained That! Client-Side Proof of Participation in Federated Learning.
Clust. Comput.
Carlo Mazzocca, Alessio Mora, Nicolò Romandini, Rebecca Montanari, Paolo Bellavista
2025 — conf
Is Client Unlearning Really Necessary in Federating Learning?
ICAIIC
Alessio Mora, Paolo Bellavista
2025 A* conf
SparsyFed: Sparse Adaptive Federated Learning.
ICLR
Adriano Guastella, Lorenzo Sani, Alex Iacob, Alessio Mora, Paolo Bellavista, Nicholas Donald Lane
2025 J jnl
SparsyFed: Sparse Adaptive Federated Training.
CoRR
Adriano Guastella, Lorenzo Sani, Alex Iacob, Alessio Mora, Paolo Bellavista, Nicholas D. Lane
2024 J jnl
Enhancing generalization in Federated Learning with heterogeneous data: A comparative literature review.
Future Gener. Comput. Syst.
Alessio Mora, Armir Bujari, Paolo Bellavista
2024 J jnl
FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher.
CoRR
Alessio Mora, Lorenzo Valerio, Paolo Bellavista, Andrea Passarella
2024 B conf
FedUNRAN: On-device Federated Unlearning via Random Labels.
IEEE Big Data
Alessio Mora, Luca Dominici, Paolo Bellavista
2024 J jnl
Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics.
CoRR
Nicolò Romandini, Alessio Mora, Carlo Mazzocca, Rebecca Montanari, Paolo Bellavista
2024 A* conf
Knowledge Distillation in Federated Learning: A Practical Guide.
IJCAI
Alessio Mora, Irene Tenison, Paolo Bellavista, Irina Rish
2024 — conf
Membership Proof in Federated Learning via Cryptographic Accumulators.
BCCA
Carlo Mazzocca, Alessio Mora, Nicolò Romandini, Rebecca Montanari, Paolo Bellavista
2023 — —
Concepts and methods for efficient decentralized learning in federated settings.
Alessio Mora
2023 — conf
Game Theoretic Analysis of AoI Efficiency for Participatory and Federated Data Ecosystems.
ICC Workshops
Alessandro Buratto, Alessio Mora, Armir Bujari, Leonardo Badia
2022 J jnl
Decentralised Learning in Federated Deployment Environments: A System-Level Survey.
ACM Comput. Surv.
Paolo Bellavista, Luca Foschini, Alessio Mora
2022 Misc conf
Federated Learning Algorithms with Heterogeneous Data Distributions: An Empirical Evaluation.
SEC
Alessio Mora, Davide Fantini, Paolo Bellavista
2022 J jnl
Knowledge Distillation for Federated Learning: a Practical Guide.
CoRR
Alessio Mora, Irene Tenison, Paolo Bellavista, Irina Rish
2022 — conf
Structured Sparse Ternary Compression for Convolutional Layers in Federated Learning.
VTC Spring
Alessio Mora, Luca Foschini, Paolo Bellavista
2022 — conf
Towards an Open Translation Environment for Supporting Translators in the Materials Domain.
FOMI
Fajar J. Ekaputra, Florina Piroi, Michael Noeske, Jesper Friis, Alessandro Calvio, Natalia A. Konchakova, Raffael Foidl, Welchy Leite Cavalcanti, Luca Foschini, Thomas F. Hagelien, Alessio Mora, Casper W. Andersen, Barbara Andreon
2021 B conf
Communication-Efficient Heterogeneous Federated Dropout in Cross-device Settings.
GLOBECOM
Paolo Bellavista, Luca Foschini, Alessio Mora
2019 — conf
Edge Cloud as an Enabler for Distributed AI in Industrial IoT Applications: the Experience of the IoTwins Project.
AI&IoT@AI*IA
Paolo Bellavista, Alessio Mora