A Nearest Neighbor Under-sampling Strategy for Vertical Federated Learning in Financial Domain

Author:

Li Denghao1,Wang Jianzong1,Kong Lingwei1,Si Shijing1,Huang Zhangcheng1,Huang Chenyu1,Xiao Jing1

Affiliation:

1. Ping An Technology (Shenzhen) Co., Ltd., Shenzhen, China

Funder

Key Research and Development Program of Guangdong Province

Publisher

ACM

Reference26 articles.

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2. Sameer Wagh , Shruti Tople , Fabrice Benhamouda , Eyal Kushilevitz , Prateek Mittal , and Tal Rabin . Falcon: Honest-majority maliciously secure framework for private deep learning. arXiv preprint arXiv:2004.02229 , 2020 . Sameer Wagh, Shruti Tople, Fabrice Benhamouda, Eyal Kushilevitz, Prateek Mittal, and Tal Rabin. Falcon: Honest-majority maliciously secure framework for private deep learning. arXiv preprint arXiv:2004.02229, 2020.

3. Nicola Rieke , Jonny Hancox , Wenqi Li , Fausto Milletari , Holger R Roth , Shadi Albarqouni , Spyridon Bakas , Mathieu N Galtier , Bennett A Landman , Klaus Maier-Hein , The future of digital health with federated learning. NPJ digital medicine, 3(1):1--7 , 2020 . Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletari, Holger R Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N Galtier, Bennett A Landman, Klaus Maier-Hein, et al. The future of digital health with federated learning. NPJ digital medicine, 3(1):1--7, 2020.

4. Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data

5. Chengliang Zhang , Suyi Li , Junzhe Xia , Wei Wang , Feng Yan , and Yang Liu . Batchcrypt: Efficient homomorphic encryption for cross-silo federated learning. In 2020 $$USENIX$$ Annual Technical Conference ($$USENIX$$ $$ATC$$ 20) , pages 493 -- 506 , 2020 . Chengliang Zhang, Suyi Li, Junzhe Xia, Wei Wang, Feng Yan, and Yang Liu. Batchcrypt: Efficient homomorphic encryption for cross-silo federated learning. In 2020 $$USENIX$$ Annual Technical Conference ($$USENIX$$ $$ATC$$ 20), pages 493--506, 2020.

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