Boosting Privately: Privacy-Preserving Federated Extreme Boosting for
Mobile Crowdsensing

Boosting Privately: Privacy-Preserving Federated Extreme Boosting for Mobile Crowdsensing

24 July 2019

Yang Liu

Papers citing "Boosting Privately: Privacy-Preserving Federated Extreme Boosting for Mobile Crowdsensing"

14 / 14 papers shown

Title
A Genetic Algorithm-Based Support Vector Machine Approach for Intelligent Usability Assessment of m-Learning Applications Muhammad Asghar Imran Sarwar Bajwa Shabana Ramzan Hina Afreen Saima Abdullah 22 7 0 04 Apr 2024
Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey Mahdi Alkaeed Adnan Qayyum Junaid Qadir 34 16 0 19 Sep 2023
Federated XGBoost on Sample-Wise Non-IID Data Katelinh Jones Yuya Jeremy Ong Yi Zhou Nathalie Baracaldo FedML 41 7 0 03 Sep 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
Aggregation Delayed Federated Learning Ye Xue Diego Klabjan Yuan Luo FedML OOD 28 5 0 17 Aug 2021
Federated Learning Versus Classical Machine Learning: A Convergence Comparison Muhammad Asad Ahmed Moustafa Takayuki Ito FedML 30 42 0 22 Jul 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
Privacy-Preserving XGBoost Inference Xianrui Meng J. Feigenbaum 9 14 0 09 Nov 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 28 0 14 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
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 39 54 0 18 May 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
Practical Federated Gradient Boosting Decision Trees Yue Liu Zeyi Wen Bingsheng He FedML AI4CE 29 187 0 11 Nov 2019
Revocable Federated Learning: A Benchmark of Federated Forest Yang Liu Zhuo Ma Ximeng Liu Zhuzhu Wang Siqi Ma Ken Ren FedML MU 27 10 0 08 Nov 2019