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Books and Theses
- 2023
[b1]Alessio Mora:
Concepts and methods for efficient decentralized learning in federated settings. University of Bologna, Italy, 2023
Journal Articles
- 2024
- [j2]Alessio Mora
, Armir Bujari, Paolo Bellavista:
Enhancing generalization in Federated Learning with heterogeneous data: A comparative literature review. Future Gener. Comput. Syst. 157: 1-15 (2024) - 2022
- [j1]Paolo Bellavista, Luca Foschini, Alessio Mora:
Decentralised Learning in Federated Deployment Environments: A System-Level Survey. ACM Comput. Surv. 54(1): 15:1-15:38 (2022)
Conference and Workshop Papers
- 2023
- [c6]Alessandro Buratto, Alessio Mora, Armir Bujari, Leonardo Badia:
Game Theoretic Analysis of AoI Efficiency for Participatory and Federated Data Ecosystems. ICC Workshops 2023: 1301-1306 - 2022
- [c5]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:
Towards an Open Translation Environment for Supporting Translators in the Materials Domain. FOMI 2022 - [c4]Alessio Mora, Davide Fantini, Paolo Bellavista:
Federated Learning Algorithms with Heterogeneous Data Distributions: An Empirical Evaluation. SEC 2022: 336-341 - [c3]Alessio Mora, Luca Foschini, Paolo Bellavista:
Structured Sparse Ternary Compression for Convolutional Layers in Federated Learning. VTC Spring 2022: 1-5 - 2021
- [c2]Paolo Bellavista, Luca Foschini, Alessio Mora:
Communication-Efficient Heterogeneous Federated Dropout in Cross-device Settings. GLOBECOM 2021: 1-6 - 2019
- [c1]Paolo Bellavista, Alessio Mora:
Edge Cloud as an Enabler for Distributed AI in Industrial IoT Applications: the Experience of the IoTwins Project. AI&IoT@AI*IA 2019: 1-15
Informal and Other Publications
- 2024
- [i3]Nicolò Romandini, Alessio Mora, Carlo Mazzocca, Rebecca Montanari, Paolo Bellavista:
Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics. CoRR abs/2401.05146 (2024) - [i2]Alessio Mora, Lorenzo Valerio, Paolo Bellavista, Andrea Passarella:
FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher. CoRR abs/2408.07587 (2024) - 2022
- [i1]Alessio Mora, Irene Tenison, Paolo Bellavista, Irina Rish:
Knowledge Distillation for Federated Learning: a Practical Guide. CoRR abs/2211.04742 (2022)
Coauthor Index
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