FS-TFP/materials/paper_list/FL-Tree

Federated Learning for Tree-based Models

This list is constantly being updated. Feel free to contribute!

2022

Title	Venue	Link	key words
Vertical Federated Learning	arxiv	pdf	survey
Tree-Based Models for Federated Learning Systems	Springer	pdf	survey
Practical Privacy Attacks on Vertical Federated Learning	arxiv	pdf	vertical, attack
OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization	VLDB	pdf, code	vertical
Federated Boosted Decision Trees with Differential Privacy	arxiv	pdf	horizontal
An Efficient and Robust System for Vertically Federated Random Forest	arxiv	pdf	vertical
FedGBF: An efficient vertical federated learning framework via gradient boosting and bagging	arxiv	pdf	vertical

2021

Title	Venue	Link	key words
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Vertical Federated Learning	IEEE International Conference on Big Data	pdf	vertical
Large-Scale Secure XGB for Vertical Federated Learning	CIKM	pdf, code	vertical
SecureBoost: A Lossless Federated Learning Framework	IEEE Intelligent Systems	pdf, code	vertical
An Efficient Learning Framework For Federated XGBoost Using Secret Sharing And Distributed Optimization	ACM Transactions on Intelligent Systems and Technology	pdf	vertical
VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning	SIGMOD	pdf	vertical
SoK: Privacy-Preserving Collaborative Tree-based Model Learning	PoPETs	pdf	Survey

2020

Title	Venue	Link	key words
Practical federated gradient boosting decision trees	AAAI	pdf	horizontal
FederBoost: Private federated learning for GBDT	arxiv	pdf	vertical, horizontal
Privacy Preserving Vertical Federated Learning for Tree-based Models	VLDB	pdf	vertical
Privacy-Preserving Gradient Boosting Decision Trees	AAAI	pdf	differential privacy
Adaptive histogram-based gradient boosted trees for federated learning	arxiv	pdf	horizontal

2019

Title	Venue	Link	key words
SecureGBM: Secure Multi-Party Gradient Boosting	IEEE International Conference on Big Data	pdf	vertical
Federated Forest	IEEE Transactions on Big Data	pdf	vertical
The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost	arxiv	pdf	horizontal

2018

Title	Venue	Link	key words
Privacy-preserving collaborative prediction using random forests	AMIA Jt Summits Transl Sci Proc	pdf	horizontal