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 | 151 | 2024 |
A survey of Internet of Things (IoT) for geohazard prevention: Applications, technologies, and challenges G Mei, N Xu, J Qin, B Wang, P Qi IEEE Internet of Things Journal 7 (5), 4371-4386, 2019 | 146 | 2019 |
FL-FD: Federated learning-based fall detection with multimodal data fusion P Qi, D Chiaro, F Piccialli Information fusion 99, 101890, 2023 | 57 | 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 | 44 | 2023 |
Physics-informed neural networks approach for 1D and 2D Gray-Scott systems F Giampaolo, M De Rosa, P Qi, S Izzo, S Cuomo Advanced Modeling and Simulation in Engineering Sciences 9 (1), 5, 2022 | 27 | 2022 |
Physics-informed neural network integrating PointNet-based adaptive refinement for investigating crack propagation in industrial applications J Tu, C Liu, P Qi IEEE Transactions on Industrial Informatics 19 (2), 2210-2218, 2022 | 20 | 2022 |
Comparative investigation of parallel spatial interpolation algorithms for building large-scale digital elevation models J Tu, G Yang, P Qi, Z Ding, G Mei PeerJ Computer Science 6, e263, 2020 | 9 | 2020 |
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 | 8 | 2024 |
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 |
A parallel solution to finding nodal neighbors in generic meshes P Qi, G Mei, N Xu, H Tian MethodsX 7, 100954, 2020 | 2 | 2020 |
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 |
Federated and edge learning for large language models F Piccialli, D Chiaro, P Qi, V Bellandi, E Damiani Information Fusion 117, 102840, 2025 | | 2025 |
Unsupervised Learning for Depth Estimation in Unstructured Environments P Qi, F Giampaolo, E Prezioso, F Piccialli 2023 IEEE International Conference on Big Data (BigData), 5102-5109, 2023 | | 2023 |