Alessio Mora

Orcid: 0000-0001-8161-1070

According to our database1, Alessio Mora authored at least 18 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics.
IEEE Trans. Neural Networks Learn. Syst., July, 2025

Federated Unlearning Made Practical: Seamless Integration via Negated Pseudo-Gradients.
CoRR, April, 2025

SparsyFed: Sparse Adaptive Federated Training.
CoRR, April, 2025

SparsyFed: Sparse Adaptive Federated Learning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Is Client Unlearning Really Necessary in Federating Learning?
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2025

2024
Enhancing generalization in Federated Learning with heterogeneous data: A comparative literature review.
Future Gener. Comput. Syst., 2024

FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher.
CoRR, 2024

Knowledge Distillation in Federated Learning: A Practical Guide.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

FedUNRAN: On-device Federated Unlearning via Random Labels.
Proceedings of the IEEE International Conference on Big Data, 2024

Membership Proof in Federated Learning via Cryptographic Accumulators.
Proceedings of the 6th International Conference on Blockchain Computing and Applications, 2024

2023
Concepts and methods for efficient decentralized learning in federated settings.
PhD thesis, 2023

Game Theoretic Analysis of AoI Efficiency for Participatory and Federated Data Ecosystems.
Proceedings of the IEEE International Conference on Communications, 2023

2022
Decentralised Learning in Federated Deployment Environments: A System-Level Survey.
ACM Comput. Surv., 2022

Structured Sparse Ternary Compression for Convolutional Layers in Federated Learning.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

Federated Learning Algorithms with Heterogeneous Data Distributions: An Empirical Evaluation.
Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

Towards an Open Translation Environment for Supporting Translators in the Materials Domain.
Proceedings of the 12th International Workshop on Formal Ontologies meet Industry (FOMI 2022) Co-located with workshops about the Industrial Ontology Foundry (IOF) and the European project OntoCommons (EU H2020 project), 2022

2021
Communication-Efficient Heterogeneous Federated Dropout in Cross-device Settings.
Proceedings of the IEEE Global Communications Conference, 2021

2019
Edge Cloud as an Enabler for Distributed AI in Industrial IoT Applications: the Experience of the IoTwins Project.
Proceedings of the 1st Workshop on Artificial Intelligence and Internet of Things co-located with the 18th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2019), 2019


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