Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator

22 November 2019

Papers citing "Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator"

28 / 28 papers shown

Title
De-VertiFL: A Solution for Decentralized Vertical Federated Learning Alberto Huertas Celdrán Chao Feng Sabyasachi Banik Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller FedML 33 0 0 08 Oct 2024
Stalactite: Toolbox for Fast Prototyping of Vertical Federated Learning Systems Anastasiia Zakharova Dmitriy Alexandrov M. Khodorchenko N. Butakov Alexey Vasilev Maxim Savchenko Alexander Grigorievskiy FedML 35 0 0 23 Sep 2024
Federated and Transfer Learning for Cancer Detection Based on Image Analysis Amine Bechar Y. Elmir Yassine Himeur Rafik Medjoudj Abbes Amira MedIm 48 4 0 30 May 2024
Federated Learning over Harmonized Data Silos Dimitris Stripelis J. Ambite FedML 23 2 0 15 May 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 21 8 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 48 0 21 Feb 2023
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 64 162 0 23 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
A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning Yan Kang Jiahuan Luo Yuanqin He Xiaojin Zhang Lixin Fan Qiang Yang FedML 13 15 0 08 Sep 2022
Flexible Vertical Federated Learning with Heterogeneous Parties Timothy Castiglia Shiqiang Wang S. Patterson FedML 42 34 0 26 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
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 42 16 0 20 Jul 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
CFL: Cluster Federated Learning in Large-scale Peer-to-Peer Networks Qian Chen Zilong Wang Yilin Zhou Jiawei Chen Danyang Xiao Xiaodong Lin FedML 17 6 0 08 Apr 2022
Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning Shuang Dai Fanlin Meng FedML OnRL 40 21 0 07 Feb 2022
Secret Sharing Sharing For Highly Scalable Secure Aggregation Timothy Stevens Joseph P. Near Christian Skalka FedML 24 5 0 03 Jan 2022
Context-Aware Online Client Selection for Hierarchical Federated Learning Zhe Qu Rui Duan Lixing Chen Jie Xu Zhuo Lu Yao-Hong Liu 39 61 0 02 Dec 2021
Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning Anirban Das Timothy Castiglia Shiqiang Wang S. Patterson FedML 13 19 0 19 Aug 2021
Vertical Federated Learning without Revealing Intersection Membership Jiankai Sun Xin Yang Yuanshun Yao Aonan Zhang Weihao Gao Junyuan Xie Chong-Jun Wang FedML 31 37 0 10 Jun 2021
Sample-based and Feature-based Federated Learning for Unconstrained and Constrained Nonconvex Optimization via Mini-batch SSCA Ying Cui Yangchen Li Chencheng Ye FedML 19 7 0 13 Apr 2021
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications Shuyan Hu Xiaojing Chen Wei Ni Ekram Hossain Xin Wang AI4CE 50 111 0 02 Dec 2020
Federated Transfer Learning: concept and applications Sudipan Saha Tahir Ahmad FedML 32 85 0 26 Sep 2020
SplitNN-driven Vertical Partitioning Iker Ceballos Vivek Sharma Eduardo Mugica Abhishek Singh Alberto Roman Praneeth Vepakomma Ramesh Raskar 29 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
Multi-Participant Multi-Class Vertical Federated Learning Siwei Feng Han Yu FedML 24 88 0 30 Jan 2020