A Vertical Federated Learning Framework for Horizontally Partitioned Labels

18 June 2021

Papers citing "A Vertical Federated Learning Framework for Horizontally Partitioned Labels"

21 / 21 papers shown

Title
Federated Learning for Open Banking Guodong Long Yue Tan Jing Jiang Chengqi Zhang AIFin FedML 87 275 0 24 Aug 2021
Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating Qingsong Zhang Bin Gu Cheng Deng Heng-Chiao Huang FedML 43 69 0 01 Mar 2021
Multi-Tier Federated Learning for Vertically Partitioned Data Anirban Das S. Patterson FedML 117 17 0 06 Feb 2021
A Vertical Federated Learning Method for Interpretable Scorecard and Its Application in Credit Scoring Fanglan Zheng Erihe Kun Li Jiang Tian Xiaojia Xiang FedML 38 26 0 14 Sep 2020
Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning Bin Gu An Xu Zhouyuan Huo Cheng Deng Heng-Chiao Huang FedML 93 28 0 14 Aug 2020
Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data Bin Gu Zhiyuan Dang Xiang Li Heng-Chiao Huang FedML 48 66 0 14 Aug 2020
Privacy Preserving Vertical Federated Learning for Tree-based Models Yuncheng Wu Shaofeng Cai Xiaokui Xiao Gang Chen Beng Chin Ooi FedML 38 213 0 14 Aug 2020
VAFL: a Method of Vertical Asynchronous Federated Learning Tianyi Chen Xiao Jin Yuejiao Sun W. Yin FedML 109 161 0 12 Jul 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 256 6,261 0 10 Dec 2019
A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression Kairan Yang Tao Fan Tianjian Chen Yuanming Shi Qiang Yang FedML 66 93 0 01 Dec 2019
Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator Shengwen Yang Bing Ren Xuhui Zhou Liping Liu OOD FedML 38 132 0 22 Nov 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 123 4,517 0 21 Aug 2019
Fair Resource Allocation in Federated Learning Tian Li Maziar Sanjabi Ahmad Beirami Virginia Smith FedML 182 803 0 25 May 2019
SecureBoost: A Lossless Federated Learning Framework Kewei Cheng Tao Fan Yilun Jin Yang Liu Tianjian Chen Dimitrios Papadopoulos Qiang Yang FedML 98 582 0 25 Jan 2019
Split learning for health: Distributed deep learning without sharing raw patient data Praneeth Vepakomma O. Gupta Tristan Swedish Ramesh Raskar FedML 118 707 0 03 Dec 2018
Feature-Distributed SVRG for High-Dimensional Linear Classification Gong-Duo Zhang Shen-Yi Zhao Hao Gao Wu-Jun Li 54 17 0 10 Feb 2018
Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption Stephen Hardy Wilko Henecka Hamish Ivey-Law Richard Nock Giorgio Patrini Guillaume Smith Brian Thorne FedML 68 535 0 29 Nov 2017
Federated Multi-Task Learning Virginia Smith Chao-Kai Chiang Maziar Sanjabi Ameet Talwalkar FedML 152 1,809 0 30 May 2017
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 138 1,899 0 08 Oct 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 809 38,961 0 09 Mar 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,486 0 17 Feb 2016