Author:
Huang Xiaoge,Li Wenjing,Ren Yang,Chen Qianbin
Publisher
Springer Nature Switzerland
Reference12 articles.
1. Breunig, M.M., Kriegel, H.P., Ng, R.T., Sander, J.: LOF: identifying density-based local outliers. In: Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, pp. 93–104 (2000)
2. Feng, C., Liu, B., Yu, K., Goudos, S.K., Wan, S.: Blockchain-empowered decentralized horizontal federated learning for 5G-enabled UAVs. IEEE Trans. Ind. Inf. 18(5), 3582–3592 (2022). https://doi.org/10.1109/TII.2021.3116132
3. He, Z., Yang, L., Lin, W., Wu, W.: Improving accuracy and convergence in group-based federated learning on Non-IID data. IEEE Trans. Netw. Sci. Eng. 10(3), 1389–1404 (2023). https://doi.org/10.1109/TNSE.2022.3163279
4. Huang, Y., et al.: Personalized cross-silo federated learning on Non-IID data. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, pp. 7865–7873 (2021)
5. Kim, H., Park, J., Bennis, M., Kim, S.L.: On-device federated learning via blockchain and its latency analysis. arXiv preprint arXiv:1808.03949 (2018)