Alessio Mora

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Geographically Dispersed

Design Guidelines

Relevant Knowledge

Heterogeneous Data

Top Venues

Future Gener. Comput. Syst.

Publications

Alessio Mora, Armir Bujari, Paolo Bellavista
Enhancing generalization in Federated Learning with heterogeneous data: A comparative literature review. Future Gener. Comput. Syst. 157 (2024)
Nicolò Romandini, Alessio Mora, Carlo Mazzocca, Rebecca Montanari, Paolo Bellavista
Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics. CoRR (2024)
Alessandro Buratto, Alessio Mora, Armir Bujari, Leonardo Badia
Game Theoretic Analysis of AoI Efficiency for Participatory and Federated Data Ecosystems. ICC Workshops (2023)
Alessio Mora, Davide Fantini, Paolo Bellavista
Federated Learning Algorithms with Heterogeneous Data Distributions: An Empirical Evaluation. SEC (2022)
Alessio Mora, Luca Foschini, Paolo Bellavista
Structured Sparse Ternary Compression for Convolutional Layers in Federated Learning. VTC Spring (2022)
Fajar J. Ekaputra, Florina Piroi, Michael Noeske, Jesper Friis, Alessandro Calvio, Natalia 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)
Alessio Mora, Irene Tenison, Paolo Bellavista, Irina Rish
Knowledge Distillation for Federated Learning: a Practical Guide. CoRR (2022)
Paolo Bellavista, Luca Foschini, Alessio Mora
Decentralised Learning in Federated Deployment Environments: A System-Level Survey. ACM Comput. Surv. 54 (1) (2021)
Paolo Bellavista, Luca Foschini, Alessio Mora
Communication-Efficient Heterogeneous Federated Dropout in Cross-device Settings. GLOBECOM (2021)
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)