Revocable Federated Learning: A Benchmark of Federated Forest

Revocable Federated Learning: A Benchmark of Federated Forest

8 November 2019

Yang Liu

Papers citing "Revocable Federated Learning: A Benchmark of Federated Forest"

8 / 8 papers shown

Title
Unsupervised Recurrent Federated Learning for Edge Popularity Prediction in Privacy-Preserving Mobile Edge Computing Networks Chong Zheng Shengheng Liu Yongming Huang Wei Zhang Luxi Yang 24 20 0 02 Jul 2022
Backdoor Defense with Machine Unlearning Yang Liu Mingyuan Fan Cen Chen Ximeng Liu Zhuo Ma Li Wang Jianfeng Ma AAML 22 74 0 24 Jan 2022
Multi-Center Federated Learning: Clients Clustering for Better Personalization Guodong Long Ming Xie Tao Shen Dinesh Manocha Xianzhi Wang Jing Jiang Chengqi Zhang FedML 32 242 0 19 Aug 2021
An Efficient Learning Framework For Federated XGBoost Using Secret Sharing And Distributed Optimization Lunchen Xie Jiaqi Liu Songtao Lu Tsung-Hui Chang Qingjiang Shi FedML 18 37 0 12 May 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
Scalable federated machine learning with FEDn Morgan Ekmefjord Addi Ait-Mlouk Sadi Alawadi Mattias Åkesson Desislava Stoyanova O. Spjuth Salman Toor A. Hellander FedML 23 41 0 27 Feb 2021
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems Sixu Hu Yuan N. Li Xu Liu Yue Liu Zhaomin Wu Bingsheng He FedML 18 53 0 14 Jun 2020
A Random Forest Guided Tour Gérard Biau Erwan Scornet AI4TS 158 2,729 0 18 Nov 2015