Towards practical data alignment in production federated learning

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References

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Acknowledgements

This work was partially supported by the National Natural Science Foundation of China (Grant Nos. U21A20516, 62076017, and 6233000216), the Beihang University Basic Research Funding (No. YWF-22-L-531), and the CCF-Huawei Populus Grove Fund (CCF-HuaweiDB202310).

Competing interests

The authors declare that they have no competing interests or financial conflicts to disclose.

Electronic supplementary material

Supplementary material is available in the online version of this article at journal.hep.com.cn and link.springer.com.

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