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
Bayesian Robust Aggregation for Federated Learning Aleksandr Karakulev Usama Zafar Salman Toor Prashant Singh FedML 40 0 0 05 May 2025
Bilateral Differentially Private Vertical Federated Boosted Decision Trees Bokang Zhang Zhikun Zhang Haodong Jiang Yong-Jin Liu Lihao Zheng Yuxiao Zhou Shuaiting Huang Junfeng Wu FedML 82 0 0 30 Apr 2025
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients Xiuwen Fang Mang Ye Bo Du FedML 74 1 0 12 Mar 2025
Towards Active Participant Centric Vertical Federated Learning: Some Representations May Be All You Need Jon Irureta Jon Imaz Aizea Lojo Javier Fernandez-Marques Marco González Iñigo Perona FedML 93 1 0 20 Feb 2025
Principles and Components of Federated Learning Architectures S. Saif Md Abdullah Al Nasim Parag Biswas Abdur Rashid Md. Mahim Anjum Haque Md. Zihad Bin Jahangir Kishor Datta Gupta FedML 64 1 0 07 Feb 2025
CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling Kaiyuan Zhang Siyuan Cheng Guangyu Shen Bruno Ribeiro Shengwei An Pin-Yu Chen Xinming Zhang Ninghui Li 122 1 0 28 Jan 2025
FedModule: A Modular Federated Learning Framework Chuyi Chen Zhe Zhang Yanchao Zhao FedML 28 0 0 07 Sep 2024
Privacy-Preserving Data Deduplication for Enhancing Federated Learning of Language Models Aydin Abadi Vishnu Asutosh Dasu Sumanta Sarkar 46 3 0 11 Jul 2024
Blind Federated Learning without initial model Jose L. Salmeron Irina Arévalo FedML 27 7 0 24 Apr 2024
SecureCut: Federated Gradient Boosting Decision Trees with Efficient Machine Unlearning Jian Zhang Bowen Li Jie Li Chentao Wu MU 44 3 0 22 Nov 2023
Collaboratively Learning Linear Models with Structured Missing Data Chen Cheng Gary Cheng John C. Duchi FedML 29 2 0 22 Jul 2023
SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning Ziyao Ren Yan Kang Lixin Fan Linghua Yang Yongxin Tong Qiang Yang FedML 50 3 0 20 Jul 2023
Privet: A Privacy-Preserving Vertical Federated Learning Service for Gradient Boosted Decision Tables Yifeng Zheng Shuangqing Xu Songlei Wang Yan Gao Zhongyun Hua FedML 23 10 0 22 May 2023
Gradient-less Federated Gradient Boosting Trees with Learnable Learning Rates Chenyang Ma Xinchi Qiu Daniel J. Beutel Nicholas D. Lane FedML 18 12 0 15 Apr 2023
Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties Jingwei Sun Zhixu Du Anna Dai Saleh Baghersalimi Alireza Amirshahi David Atienza Yiran Chen FedML 16 7 0 28 Mar 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 84 47 0 21 Feb 2023
FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning Anran Li Hongyi Peng Lan Zhang Jiahui Huang Qing Guo Han Yu Yang Liu FedML 39 28 0 21 Feb 2023
Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration Networks Chung-ju Huang Leye Wang Xiao Han FedML 35 24 0 11 Feb 2023
GAN-based Vertical Federated Learning for Label Protection in Binary Classification Yujin Han Leying Guan FedML 35 0 0 04 Feb 2023
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation Hanlin Gu Jiahuan Luo Yan Kang Lixin Fan Qiang Yang FedML 36 13 0 30 Jan 2023
Mutual Information Regularization for Vertical Federated Learning Tianyuan Zou Yang Liu Ya-Qin Zhang AAML FedML 35 7 0 01 Jan 2023
Federated Learning -- Methods, Applications and beyond Moritz Heusinger Christoph Raab Fabrice Rossi Frank-Michael Schleif FedML OOD 18 5 0 22 Dec 2022
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends Yonghao Xu Tao Bai Weikang Yu Shizhen Chang P. M. Atkinson Pedram Ghamisi AAML 38 47 0 19 Dec 2022
Vertical Federated Learning: A Structured Literature Review Afsana Khan M. T. Thij A. Wilbik FedML 55 10 0 01 Dec 2022
Vertical Federated Learning: Concepts, Advances and Challenges Yang Liu Yan Kang Tianyuan Zou Yanhong Pu Yuanqin He Xiaozhou Ye Ye Ouyang Yaqin Zhang Qian Yang FedML 64 161 0 23 Nov 2022
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges Enrique Tomás Martínez Beltrán Mario Quiles Pérez Pedro Miguel Sánchez Sánchez Sergio López Bernal Gérome Bovet M. Pérez Gregorio Martínez Pérez Alberto Huertas Celdrán FedML 35 223 0 15 Nov 2022
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges Madhura Joshi Ankit Pal Malaikannan Sankarasubbu OOD AI4CE FedML 25 93 0 15 Nov 2022
Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$ -Means Clustering Lingxiao Huang Zhize Li Jialin Sun Haoyu Zhao FedML 44 9 0 26 Oct 2022
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning Kaiyuan Zhang Guanhong Tao Qiuling Xu Shuyang Cheng Shengwei An ... Shiwei Feng Guangyu Shen Pin-Yu Chen Shiqing Ma Xiangyu Zhang FedML 42 52 0 23 Oct 2022
Feature Reconstruction Attacks and Countermeasures of DNN training in Vertical Federated Learning Peng Ye Zhifeng Jiang Wei Wang Bo-wen Li Baochun Li AAML FedML 45 15 0 13 Oct 2022
Federated Boosted Decision Trees with Differential Privacy Samuel Maddock Graham Cormode Tianhao Wang Carsten Maple S. Jha FedML 29 29 0 06 Oct 2022
VFLens: Co-design the Modeling Process for Efficient Vertical Federated Learning via Visualization Y. Tian He Wang Laixin Xie Xiaojuan Ma Quan Li FedML 25 1 0 02 Oct 2022
Federated XGBoost on Sample-Wise Non-IID Data Katelinh Jones Yuya Jeremy Ong Yi Zhou Nathalie Baracaldo FedML 41 7 0 03 Sep 2022
Flexible Vertical Federated Learning with Heterogeneous Parties Timothy Castiglia Shiqiang Wang S. Patterson FedML 42 34 0 26 Aug 2022
Collaborative causal inference on distributed data Yuji Kawamata Ryoki Motai Yukihiko Okada A. Imakura T. Sakurai 15 8 0 16 Aug 2022
Practical Vertical Federated Learning with Unsupervised Representation Learning Zhaomin Wu Yue Liu Bingsheng He FedML 38 37 0 13 Aug 2022
Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates Fangcheng Fu Xupeng Miao Jiawei Jiang Huanran Xue Bin Cui FedML 32 21 0 29 Jul 2022
Accelerating Vertical Federated Learning Dongqi Cai Tao Fan Yan Kang Lixin Fan Mengwei Xu Shangguang Wang Qiang Yang FedML 19 7 0 23 Jul 2022
UniFed: All-In-One Federated Learning Platform to Unify Open-Source Frameworks Xiaoyuan Liu Tianneng Shi Chulin Xie Qinbin Li Kangping Hu ... The-Anh Vu-Le Zhen Huang Arash Nourian Bo-wen Li D. Song FedML 32 8 0 21 Jul 2022
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM Chulin Xie Pin-Yu Chen Qinbin Li Arash Nourian Ce Zhang Bo Li FedML 38 16 0 20 Jul 2022
MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning Hua Ma Qun Li Yifeng Zheng Zhi Zhang Xiaoning Liu Yan Gao S. Al-Sarawi Derek Abbott FedML 37 3 0 19 Jul 2022
FedSSO: A Federated Server-Side Second-Order Optimization Algorithm Xinteng Ma Renyi Bao Jinpeng Jiang Yang Liu Arthur Jiang Junhua Yan Xin Liu Zhisong Pan FedML 32 6 0 20 Jun 2022
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data Fangcheng Fu Huanran Xue Yong Cheng Yangyu Tao Bin Cui FedML 26 59 0 16 Jun 2022
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning Tao Qi Fangzhao Wu Chuhan Wu Lingjuan Lyu Tongye Xu Zhongliang Yang Yongfeng Huang Xing Xie FedML 39 36 0 07 Jun 2022
FedGBF: An efficient vertical federated learning framework via gradient boosting and bagging Yujin Han Pan Du Kai Yang FedML 27 12 0 03 Apr 2022
No Free Lunch Theorem for Security and Utility in Federated Learning Xiaojin Zhang Hanlin Gu Lixin Fan Kai Chen Qiang Yang FedML 24 64 0 11 Mar 2022
Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data Y. Cheung Juyong Jiang F. Yu Jian Lou FedML 35 12 0 03 Mar 2022
Scalable Multi-Party Privacy-Preserving Gradient Tree Boosting over Vertically Partitioned Dataset with Outsourced Computations Kennedy Edemacu Beakcheol Jang Jong Wook Kim 22 1 0 07 Feb 2022
Batch Label Inference and Replacement Attacks in Black-Boxed Vertical Federated Learning Yang Liu Tianyuan Zou Yan Kang Wenhan Liu Yuanqin He Zhi-qian Yi Qian Yang FedML AAML 16 19 0 10 Dec 2021
Personalized Federated Learning with Adaptive Batchnorm for Healthcare Wang Lu Jindong Wang Yiqiang Chen Xin Qin Renjun Xu Dimitrios Dimitriadis Tao Qin FedML OOD 24 61 0 01 Dec 2021