A Survey on Contribution Evaluation in Vertical Federated Learning

3 May 2024

Papers citing "A Survey on Contribution Evaluation in Vertical Federated Learning"

4 / 4 papers shown

Title
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning Timothy Castiglia Yi Zhou Shiqiang Wang S. Kadhe Nathalie Baracaldo S. Patterson FedML 71 16 0 03 May 2023
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning Yan Kang Hanlin Gu Xingxing Tang Yuanqin He Yuzhu Zhang Jinnan He Yuxing Han Lixin Fan Kai Chen Qiang Yang FedML 63 18 0 29 Apr 2023
OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization Xiaochen Li Yuke Hu Weiran Liu Hanwen Feng Li Peng Yuan Hong Kui Ren Zhan Qin FedML 121 26 0 04 Oct 2022
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization Qingsong Zhang Bin Gu Cheng Deng Songxiang Gu Liefeng Bo J. Pei Heng-Chiao Huang FedML 95 28 0 26 Sep 2021