Vertical Federated Learning: Challenges, Methodologies and Experiments

Vertical Federated Learning: Challenges, Methodologies and Experiments

9 February 2022

Jun Li

Ming Ding

Thilina Ranbaduge

Papers citing "Vertical Federated Learning: Challenges, Methodologies and Experiments"

9 / 9 papers shown

Title
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 121 1 0 20 Feb 2025
Contrastive Federated Learning with Tabular Data Silos Achmad Ginanjar Xue Li Wen Hua Jiaming Pei FedML 134 3 0 17 Feb 2025
Unlearning Clients, Features and Samples in Vertical Federated Learning Ayush K. Varshney Konstantinos Vandikas V. Torra MU 66 1 0 23 Jan 2025
CAFE: Catastrophic Data Leakage in Vertical Federated Learning Xiao Jin Pin-Yu Chen Chia-Yi Hsu Chia-Mu Yu Tianyi Chen FedML 56 150 0 26 Oct 2021
Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating Qingsong Zhang Bin Gu Cheng Deng Heng-Chiao Huang FedML 27 69 0 01 Mar 2021
Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data Bin Gu Zhiyuan Dang Xiang Li Heng-Chiao Huang FedML 30 67 0 14 Aug 2020
Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training? Sharif Abuadbba Kyuyeon Kim Minki Kim Chandra Thapa S. Çamtepe Yansong Gao Hyoungshick Kim Surya Nepal FedML 33 123 0 16 Mar 2020
Federated Learning with Differential Privacy: Algorithms and Performance Analysis Kang Wei Jun Li Ming Ding Chuan Ma Heng Yang Farokhi Farhad Shi Jin Tony Q.S. Quek H. Vincent Poor FedML 110 1,612 0 01 Nov 2019
Detailed comparison of communication efficiency of split learning and federated learning Abhishek Singh Praneeth Vepakomma O. Gupta Ramesh Raskar FedML 51 189 0 18 Sep 2019