1 code implementation • 5 Jul 2023 • Zhaomin Wu, Junyi Hou, Bingsheng He
However, due to privacy restrictions, few public real-world VFL datasets exist for algorithm evaluation, and these represent a limited array of feature distributions.
1 code implementation • 13 Aug 2022 • Zhaomin Wu, Qinbin Li, Bingsheng He
As societal concerns on data privacy recently increase, we have witnessed data silos among multiple parties in various applications.
1 code implementation • 11 Jun 2021 • Zhaomin Wu, Qinbin Li, Bingsheng He
However, most existing studies in VFL disregard the "record linkage" process.
1 code implementation • 14 Jun 2020 • Sixu Hu, Yuan Li, Xu Liu, Qinbin Li, Zhaomin Wu, Bingsheng He
This paper presents and characterizes an Open Application Repository for Federated Learning (OARF), a benchmark suite for federated machine learning systems.
2 code implementations • 11 Nov 2019 • Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He
Specifically, by investigating the property of gradient and the contribution of each tree in GBDTs, we propose to adaptively control the gradients of training data for each iteration and leaf node clipping in order to tighten the sensitivity bounds.
1 code implementation • 23 Jul 2019 • Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Yuan Li, Xu Liu, Bingsheng He
By systematically summarizing the existing federated learning systems, we present the design factors, case studies, and future research opportunities.