Vertical Federated Learning for Effectiveness, Security, Applicability:
A Survey

Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey

25 May 2024

Bo Du

Vassili Kovalev

Papers citing "Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey"

15 / 15 papers shown

Title
Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off Yuecheng Li Lele Fu Tong Wang Jian Lou Bin Chen Lei Yang Zibin Zheng Zibin Zheng Chuan Chen FedML 70 4 0 10 Feb 2024
A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective Lei Yu Meng Han Yiming Li Changting Lin Yao Zhang ... Yan Liu Haiqin Weng Yuseok Jeon Ka-Ho Chow Stacy Patterson FedML 58 9 0 06 Feb 2024
Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark Wenke Huang Mang Ye Zekun Shi Guancheng Wan He Li Bo Du Qiang Yang FedML OOD 68 76 0 12 Nov 2023
Practical and General Backdoor Attacks against Vertical Federated Learning Yu Xuan Xiaojun Chen Zhendong Zhao Bisheng Tang Ye Dong AAML FedML 59 3 0 19 Jun 2023
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning Timothy Castiglia Yi Zhou Shiqiang Wang S. Kadhe Nathalie Baracaldo S. Patterson FedML 79 16 0 03 May 2023
Vertical Federated Graph Neural Network for Recommender System Peihua Mai Yan Pang FedML 71 18 0 10 Mar 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 123 26 0 04 Oct 2022
Privacy Against Inference Attacks in Vertical Federated Learning Borzoo Rassouli Morteza Varasteh Deniz Gunduz AAML FedML 43 4 0 24 Jul 2022
An Efficient and Robust System for Vertically Federated Random Forest Houpu Yao Jiazhou Wang Peng Dai Liefeng Bo Yanqing Chen FedML 79 12 0 26 Jan 2022
Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated Learning Jinyin Chen Guohan Huang Haibin Zheng Shanqing Yu Wenrong Jiang Chen Cui AAML FedML 74 32 0 13 Oct 2021
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
Achieving Model Fairness in Vertical Federated Learning Changxin Liu Zhenan Fan Zirui Zhou Yang Shi J. Pei Lingyang Chu Yong Zhang FedML 60 12 0 17 Sep 2021
Label Leakage and Protection in Two-party Split Learning Oscar Li Jiankai Sun Xin Yang Weihao Gao Hongyi Zhang Junyuan Xie Virginia Smith Chong-Jun Wang FedML 124 139 0 17 Feb 2021
FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training Yan Kang Yang Liu Xinle Liang FedML 68 50 0 25 Aug 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 168 564 0 27 Jul 2020