Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning

20 May 2021

Papers citing "Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning"

9 / 9 papers shown

Title
ICAFS: Inter-Client-Aware Feature Selection for Vertical Federated Learning Ruochen Jin Boning Tong Shu Yang Bojian Hou Li Shen 31 0 0 15 Apr 2025
Tree-based Models for Vertical Federated Learning: A Survey Bingchen Qian Yuexiang Xie Yaliang Li Bolin Ding Jingren Zhou FedML 58 0 0 03 Apr 2025
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review Luis M. Lopez-Ramos Florian Leiser Aditya Rastogi Steven Hicks Inga Strümke V. Madai Tobias Budig Ali Sunyaev A. Hilbert 30 1 0 07 Nov 2024
A Survey on Contribution Evaluation in Vertical Federated Learning Yue Cui Chung-ju Huang Yuzhu Zhang Leye Wang Lixin Fan Xiaofang Zhou Qiang Yang FedML 39 5 0 03 May 2024
The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning Omer Subasi Oceane Bel Joseph Manzano Kevin J. Barker FedML OOD PINN 28 2 0 05 Dec 2023
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning Timothy Castiglia Yi Zhou Shiqiang Wang S. Kadhe Nathalie Baracaldo S. Patterson FedML 79 17 0 03 May 2023
A Survey on Class Imbalance in Federated Learning Jing Zhang Chuanwen Li Jianzgong Qi Jiayuan He FedML 47 13 0 21 Mar 2023
A Survey on Heterogeneous Federated Learning Dashan Gao Xin Yao Qian Yang FedML 30 58 0 10 Oct 2022
Graph-Assisted Communication-Efficient Ensemble Federated Learning P. M. Ghari Yanning Shen FedML 24 4 0 27 Feb 2022