Pubblicazioni

A Cooperative Feature Removal Mechanism forÂ Cell Outage Detection inÂ Wireless Telecommunication Networks

2025 - Critical Information Infrastructures Security 19th International Conference, CRITIS 2024, Rome, Italy, September 18â20, 2024, Revised Selected Papers

Wrona, Andrea; Gentile, Simone; De Santis, Emanuele; Giuseppi, Alessandro; Pietrabissa, Antonio; Delli Priscoli, Francesco

AdaLightLog: Enhancing Application Logs Anomaly Detection viaÂ Adaptive Federating Learning

2025 - Critical Information Infrastructures Security 19th International Conference, CRITIS 2024, Rome, Italy, September 18â20, 2024, Revised Selected Papers

Menegatti, Danilo; De Santis, Emanuele; Felli, Stefano; Giuseppi, Alessandro

Self-simulation and Meta-Model Aggregation Based Heterogeneous Graph Coupled Federated Learning

2024 - IEEE INTERNET OF THINGS JOURNAL

Yan, C.; Lu, X.; Lio, P.; Hui, P.; He, D.

Position: Topological Deep Learning is the New Frontier for Relational Learning

2024 - Proceedings of Machine Learning Research

Papamarkou, T.; Birdal, T.; Bronstein, M.; Carlsson, G.; Curry, J.; Gao, Y.; Hajij, M.; Kwitt, R.; Lio, P.; Di Lorenzo, P.; Maroulas, V.; Miolane, N.; Nasrin, F.; Ramamurthy, K. N.; Rieck, B.; Scardapane, S.; Schaub, M. T.; Velickovic, P.; Wang, B.; Wang, Y.; Wei, G. -W.; Zamzmi, G.

FedComm: Federated Learning as a Medium for Covert Communication

2023 - IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING

Hitaj, Dorjan; Pagnotta, Giulio; Hitaj, Briland; Perez-Cruz, Fernando; Mancini, Luigi V.

A Discrete-Time Multi-Hop Consensus Protocol for Decentralized Federated Learning

2023 - IEEE ACCESS

Menegatti, D.; Giuseppi, A.; Manfredi, S.; Pietrabissa, A.

Vertically-Advised Federated Learning for Multi-Strategic Stock Predictions through Stochastic Attention-based LSTM

2023 - 2023 31st Mediterranean Conference on Control and Automation (MED) Proceedings

Menegatti, D.; Ciccarelli, E.; Viscione, M.; Giuseppi, A.

Load Demand Prediction for Electric Vehicles Smart Charging through Consensus-based Federated Learning

2023 - 2023 31st Mediterranean Conference on Control and Automation (MED) Proceedings

Menegatti, D.; Pietrabissa, A.; Manfredi, S.; Giuseppi, A.

FLWB: a Workbench Platform for Performance Evaluation of Federated Learning Algorithms

2023 - 2023 IEEE International Workshop on Technologies for Defense and Security, TechDefense 2023 - Proceedings

Casalicchio, E.; Esposito, S.; Al-Saedi, A. A.

FLIRT: Federated Learning for Information Retrieval

2023 - ACM International Conference on Research and Development in Information Retrieval

Pinelli, Fabio; Tolomei, Gabriele; Trappolini, Giovanni

StackFBAs: Detection of fetal brain abnormalities using CNN with stacking strategy from MRI images

2023 - MAGALAT GAMÊ¼AT AL-MALIK SAUD: ULM AL-HASIB WA AL-MAÊ¼LUMAT

Chowdhury, A. A.; Hasan Mahmud, S. M.; Shahjalal Hoque, K. K.; Ahmed, K.; Bui, F. M.; Lio, P.; Moni, M. A.; Al-Zahrani, F. A.

Decentralized Federated Learning for Nonintrusive Load Monitoring in Smart Energy Communities

2022 - 2022 30th Mediterranean Conference on Control and Automation, MED 2022

Giuseppi, A.; Manfredi, S.; Menegatti, D.; Pietrabissa, A.; Poli, C.

Decentralised Federated Learning for Hospital Networks with application to COVID-19 Detection

2022 - IEEE ACCESS

Giuseppi, A.; Manfredi, S.; Menegatti, D.; Poli, C.; Pietrabissa, A.

An Adaptive Model Averaging Procedure for Federated Learning (AdaFed)

2022 - JOURNAL OF ADVANCES IN INFORMATION TECHNOLOGY

Giuseppi, A.; Torre, L. D.; Menegatti, D.; Priscoli, F. D.; Pietrabissa, A.; Poli, C.

Turning Federated Learning Systems into Covert Channels

2022 - IEEE ACCESS

Costa, Gabriele; Pinelli, Fabio; Soderi, Simone; Tolomei, Gabriele

FedCO: Communication-Efficient Federated Learning via Clustering Optimization â

2022 - FUTURE INTERNET

Al-Saedi, A. A.; Boeva, V.; Casalicchio, E.

Heterogeneous Model Fusion Federated Learning Mechanism Based on Model Mapping

2022 - IEEE INTERNET OF THINGS JOURNAL

Lu, X.; Liao, Y.; Liu, C.; Lio, P.; Hui, P.

Cluster-driven graph federated learning over multiple domains

2021 - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Caldarola, Debora; Mancini, Massimiliano; Galasso, Fabio; Ciccone, Marco; Rodola', Emanuele; Caputo, Barbara

Neural network quantization in federated learning at the edge

2021 - INFORMATION SCIENCES

Tonellotto, N.; Gotta, A.; Nardini, F. M.; Gadler, D.; Silvestri, F.

An Asynchronous Federated Learning Mechanism for Edge Network Computing

2020 - JISUANJI YANJIU YU FAZHAN

Lu, X.; Liao, Y.; Lio, P.; Pan, H.

Privacy-preserving asynchronous federated learning mechanism for edge network computing

2020 - IEEE ACCESS

Lu, X.; Liao, Y.; Lio, P.; Hui, P.