SecureBoost: A Lossless Federated Learning Framework

25 January 2019

Yang Liu

Dimitrios Papadopoulos

Qiang Yang

FedML

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Papers citing "SecureBoost: A Lossless Federated Learning Framework"

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Title
DVFL: A Vertical Federated Learning Method for Dynamic Data Yuzhi Liang Yixiang Chen FedML 29 1 0 05 Nov 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
FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning Zhifeng Jiang Wen Wang Yang Liu FedML 32 49 0 02 Sep 2021
Privacy-Preserving Machine Learning: Methods, Challenges and Directions Runhua Xu Nathalie Baracaldo J. Joshi 32 100 0 10 Aug 2021
Federated Learning Meets Natural Language Processing: A Survey Ming Liu Stella Ho Mengqi Wang Longxiang Gao Yuan Jin Heng Zhang FedML 25 67 0 27 Jul 2021
Survey: Leakage and Privacy at Inference Time Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. OÑeil Alexander Weir Roderick Murray-Smith Sotirios A. Tsaftaris PILM MIACV 23 71 0 04 Jul 2021
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning Xiaolin Chen Shuai Zhou Bei Guan Kai Yang Hao Fao Hu. Wang Yongji Wang FedML 28 16 0 20 May 2021
Privacy-Preserving Federated Learning on Partitioned Attributes Shuang Zhang Liyao Xiang Xi Yu Pengzhi Chu Yingqi Chen Chen Cen L. Wang FedML 20 2 0 29 Apr 2021
A Federated Learning Framework for Smart Grids: Securing Power Traces in Collaborative Learning Haizhou Liu Xuan Zhang Xinwei Shen Hongbin Sun FedML 19 40 0 22 Mar 2021
SoK: Privacy-Preserving Collaborative Tree-based Model Learning Sylvain Chatel Apostolos Pyrgelis J. Troncoso-Pastoriza Jean-Pierre Hubaux 17 14 0 16 Mar 2021
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data Runhua Xu Nathalie Baracaldo Yi Zhou Ali Anwar J. Joshi Heiko Ludwig FedML 13 75 0 05 Mar 2021
Self-supervised Cross-silo Federated Neural Architecture Search Xinle Liang Yang Liu Jiahuan Luo Yuanqin He Tianjian Chen Qiang Yang FedML 100 18 0 28 Jan 2021
Vertical federated learning based on DFP and BFGS Wenjie Song Xuan Shen FedML 21 6 0 23 Jan 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 183 355 0 07 Dec 2020
FedSL: Federated Split Learning on Distributed Sequential Data in Recurrent Neural Networks Ali Abedi Shehroz S. Khan FedML 39 53 0 06 Nov 2020
FederBoost: Private Federated Learning for GBDT Zhihua Tian Rui Zhang Xiaoyang Hou Jian-wei Liu K. Ren Jian Liu Kui Ren FedML AI4CE 47 66 0 05 Nov 2020
Feature Inference Attack on Model Predictions in Vertical Federated Learning Xinjian Luo Yuncheng Wu Xiaokui Xiao Beng Chin Ooi FedML AAML 11 218 0 20 Oct 2020
Hybrid Differentially Private Federated Learning on Vertically Partitioned Data Chang Wang Jian Liang Mingkai Huang Bing Bai Kun Bai Hao Li FedML 23 44 0 06 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 38 27 0 14 Aug 2020
SplitNN-driven Vertical Partitioning Iker Ceballos Vivek Sharma Eduardo Mugica Abhishek Singh Alberto Roman Praneeth Vepakomma Ramesh Raskar 26 72 0 07 Aug 2020
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 48 83 0 22 Jul 2020
Faster Secure Data Mining via Distributed Homomorphic Encryption Junyi Li Heng-Chiao Huang FedML 36 20 0 17 Jun 2020
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems Sixu Hu Yuan N. Li Xu Liu Yue Liu Zhaomin Wu Bingsheng He FedML 18 53 0 14 Jun 2020
Large-Scale Secure XGB for Vertical Federated Learning Wenjing Fang Derun Zhao Jin Tan Chaochao Chen Chaofan Yu L. xilinx Wang Lei Wang Jun Zhou Benyu Zhang FedML 34 54 0 18 May 2020
Cloud-based Federated Boosting for Mobile Crowdsensing Zhuzhu Wang Yilong Yang Yang Liu Ximeng Liu B. Gupta Jianfeng Ma FedML 11 13 0 09 May 2020
Communication-Efficient Edge AI: Algorithms and Systems Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 29 326 0 22 Feb 2020
Federated Extra-Trees with Privacy Preserving Yang Liu Mingxi Chen Wenxi Zhang Junbo Zhang Yu Zheng FedML 28 3 0 18 Feb 2020
Faster On-Device Training Using New Federated Momentum Algorithm Zhouyuan Huo Qian Yang Bin Gu Heng-Chiao Huang FedML 22 47 0 06 Feb 2020
Stratified cross-validation for unbiased and privacy-preserving federated learning R. Bey Romain Goussault M. Benchoufi R. Porcher FedML 24 12 0 22 Jan 2020
Quantifying the Performance of Federated Transfer Learning Qinghe Jing Weiyan Wang Junxue Zhang Han Tian Kai Chen FedML 22 24 0 30 Dec 2019
Proof of Federated Learning: A Novel Energy-recycling Consensus Algorithm Xidi Qu Shengling Wang Qin Hu Xiuzhen Cheng FedML 34 102 0 26 Dec 2019
HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning Runhua Xu Nathalie Baracaldo Yi Zhou Ali Anwar Heiko Ludwig FedML 16 287 0 12 Dec 2019
Practical Federated Gradient Boosting Decision Trees Yue Liu Zeyi Wen Bingsheng He FedML AI4CE 21 186 0 11 Nov 2019
Federated Uncertainty-Aware Learning for Distributed Hospital EHR Data Sabri Boughorbel Fethi Jarray Neethu Venugopal S. Moosa Haithum Elhadi Michel Makhlouf OOD FedML 31 51 0 27 Oct 2019
Real-World Image Datasets for Federated Learning Jiahuan Luo Xueyang Wu Yu Luo Anbu Huang Yunfeng Huang Yang Liu Qiang Yang FedML 21 97 0 14 Oct 2019
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare Yiqiang Chen Jindong Wang Chaohui Yu Wen Gao Xin Qin FedML 28 703 0 22 Jul 2019
The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost Mengwei Yang Linqi Song Jie Xu Congduan Li Guozhen Tan FedML 20 30 0 16 Jul 2019