@article{silvi2024fedseq,
    author={Silvi, Andrea and Rizzardi, Andrea and Caldarola, Debora and Caputo, Barbara and Ciccone, Marco},
    journal={IEEE Access},
    title={Accelerating Federated Learning via Sequential Training of Grouped Heterogeneous Clients},
    year={2024},
    volume={12},
    number={},
    pages={57043-57058},
    keywords={Training;Servers;Task analysis;Federated learning;Data models;Convergence;Privacy;Federated learning;distributed learning;privacy-preserving machine learning;statistical heterogeneity;deep learning},
    doi={10.1109/ACCESS.2024.3387453}