FedRC: Representational Consistency Guided Model Uploading Mechanism for Asynchronous Federated Learning
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-63989-0_12
Reference40 articles.
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3. Chen, Y., Sun, X., Jin, Y.: Communication-efficient federated deep learning with layerwise asynchronous model update and temporally weighted aggregation. IEEE Trans. Neural Netw. Learn. Syst. 31(10), 4229–4238 (2020). https://doi.org/10.1109/TNNLS.2019.2953131
4. Chen, Y., Ning, Y., Slawski, M., Rangwala, H.: Asynchronous online federated learning for edge devices with non-iid data. In: 2020 IEEE International Conference on Big Data (Big Data), pp. 15–24. IEEE (2020)
5. Ek, S., Portet, F., Lalanda, P., Vega, G.: Evaluation and comparison of federated learning algorithms for human activity recognition on smartphones. Pervasive Mob. Comput. 87, 101714 (2022). https://doi.org/10.1016/j.pmcj.2022.101714
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