| Model aggregation techniques in federated learning: A comprehensive survey P Qi, D Chiaro, A Guzzo, M Ianni, G Fortino, F Piccialli Future Generation Computer Systems 150, 272-293, 2024 | 157 | 2024 |
| FL-FD: Federated learning-based fall detection with multimodal data fusion P Qi, D Chiaro, F Piccialli Information fusion 99, 101890, 2023 | 58 | 2023 |
| A blockchain-based secure Internet of medical things framework for stress detection P Qi, D Chiaro, F Giampaolo, F Piccialli Information Sciences 628, 377-390, 2023 | 45 | 2023 |
| FL-Enhance: A federated learning framework for balancing non-IID data with augmented and shared compressed samples D Chiaro, E Prezioso, M Ianni, F Giampaolo Information Fusion 98, 101836, 2023 | 22 | 2023 |
| Predictive maintenance for offshore oil wells by means of deep learning features extraction F Gatta, F Giampaolo, D Chiaro, F Piccialli Expert Systems 41 (2), e13128, 2024 | 16 | 2024 |
| Small models, big impact: A review on the power of lightweight Federated Learning P Qi, D Chiaro, F Piccialli Future Generation Computer Systems, 107484, 2024 | 10 | 2024 |
| The impact of adversarial attacks on interpretable semantic segmentation in cyber–physical systems R Gipiškis, D Chiaro, M Preziosi, E Prezioso, F Piccialli IEEE Systems Journal 17 (4), 5327-5334, 2023 | 8 | 2023 |
| Insight extraction from e-Health bookings by means of Hypergraph and Machine Learning VS Di Cola, D Chiaro, E Prezioso, S Izzo, F Giampaolo IEEE Journal of Biomedical and Health Informatics 27 (10), 4649-4659, 2023 | 8 | 2023 |
| Ablation Studies in Activation Maps for Explainable Semantic Segmentation in Industry 4.0 R Gipiškis, D Chiaro, D Annunziata, F Piccialli IEEE EUROCON 2023-20th International Conference on Smart Technologies, 36-41, 2023 | 6 | 2023 |
| Statistical arbitrage in the stock markets by the means of multiple time horizons clustering F Gatta, C Iorio, D Chiaro, F Giampaolo, S Cuomo Neural Computing and Applications 35 (16), 11713-11731, 2023 | 5 | 2023 |
| GRAPHITE—Generative Reasoning and Analysis for Predictive Handling in Traffic Efficiency F Piccialli, M Canzaniello, D Chiaro, S Izzo, P Qi Information Fusion 106, 102265, 2024 | 3 | 2024 |
| The BIOCHIP project: A Deep Learning approach for multiwell segmentation M Savoia, D Chiaro, F Giampaolo, S Cuomo, F Piccialli 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf …, 2022 | 3 | 2022 |
| On the Dynamics of Non-IID Data in Federated Learning and High-Performance Computing D Annunziata, M Canzaniello, D Chiaro, S Izzo, M Savoia, F Piccialli 2024 32nd Euromicro International Conference on Parallel, Distributed and …, 2024 | 2 | 2024 |
| On the Road to AIoT: A Framework for Vehicle Road Cooperation D Annunziata, D Chiaro, P Qi, F Piccialli IEEE Internet of Things Journal, 2024 | 1 | 2024 |
| KAFÈ: Kernel Aggregation for FEderated P Qi, D Chiaro, F Giampaolo, F Piccialli Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | 1 | 2024 |
| Unveiling the Potential of Machine Learning in Activity Recognition for Industry 4.0 D Chiaro, P Qi, MD Rosa, S Cuomo, F Piccialli Activity Recognition and Prediction for Smart IoT Environments, 141-159, 2024 | 1 | 2024 |
| Cut the peaches: image segmentation for utility pattern mining in food processing D Chiaro, E Prezioso, S Izzo, F Giampaolo, S Cuomo, F Piccialli 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 497-506, 2022 | 1 | 2022 |
| A machine learning-based approach for mercury detection in marine waters F Piccialli, F Giampaolo, VS Di Cola, F Gatta, D Chiaro, E Prezioso, S Izzo, ... 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 1-10, 2022 | 1 | 2022 |
| Federated and edge learning for large language models F Piccialli, D Chiaro, P Qi, V Bellandi, E Damiani Information Fusion 117, 102840, 2025 | | 2025 |
| CAPTURE—Computational Analysis and Predictive Techniques for Urban Resource Efficiency M Canzaniello, S Izzo, D Chiaro, A Longo, F Piccialli Expert Systems 42 (2), e13768, 2025 | | 2025 |
Francesco PiccialliProfessor of Computer Science, University of Naples Federico II, Head of MODAL research labE-mailová adresa ověřena na: unina.it