VFLens: Co-design the Modeling Process for Efficient Vertical Federated Learning via Visualization

Author:

Tian Yun1ORCID,Wang He1,Xie Laixin1,Ma Xiaojuan2,Li Quan1

Affiliation:

1. School of Information Science and Technology, ShanghaiTech University, China

2. Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, China

Funder

HKUST-WeBank Joint Laboratory Project

Publisher

ACM

Reference59 articles.

1. Permutation importance: a corrected feature importance measure

2. Avrim L Blum and Pat Langley. 1997. Selection of relevant features and examples in machine learning. Artificial intelligence 97, 1-2 (1997), 245–271.

3. H. Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, and Blaise Agüera y Arcas. 2017. Communication-efficient learning of deep networks from decentralized data. In Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017. arxiv:1602.05629https://arxiv.org/pdf/1602.05629.pdf

4. A survey on feature selection methods

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