Entity Augmentation for Efficient Classification of Vertically Partitioned Data with Limited Overlap

Author:

Amalanshu Avi,Nagaswamy Viswesh,Prudhvi G. V. S. S.,Sirvi Yash

Publisher

Springer Nature Singapore

Reference21 articles.

1. Amalanshu, A., Sirvi, Y., Inouye, D.I.: Decoupled vertical federated learning for practical training on vertically partitioned data (2024). arXiv:2403.03871

2. Ceballos, I., Sharma, V., Mugica, E., Singh, A., Roman, A., Vepakomma, P., Raskar, R.: Splitnn-driven vertical partitioning. arXiv:2008.04137 (2020)

3. Dua, D., Graff, C.: UCI machine learning repository (2017). http://archive.ics.uci.edu/ml

4. Gupta, O., Raskar, R.: Distributed learning of deep neural network over multiple agents. J. Netw. Comput. Appl. 116, 1–8 (2018). https://doi.org/10.1016/j.jnca.2018.05.003

5. Hardy, S., et al.: Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption. arXiv:1711.10677 (2017)

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