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Federated XGBoost on Sample-Wise Non-IID Data

Federated XGBoost on Sample-Wise Non-IID Data

3 September 2022

Yuya Jeremy Ong

Nathalie Baracaldo

ArXiv (abs)PDF HTML Github

Papers citing "Federated XGBoost on Sample-Wise Non-IID Data"

4 / 4 papers shown

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics,
Methods, Frameworks and Future Directions

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions

Daniel Gutiérrez

Mikko A. Heikkilä

Nicolas Kourtellis

Aris Anagnostopoulos

I. Chatzigiannakis

495

0

0

19 Nov 2024

Histogram-Based Federated XGBoost using Minimal Variance Sampling for
Federated Tabular Data

Histogram-Based Federated XGBoost using Minimal Variance Sampling for Federated Tabular DataInternational Conference on Fog and Mobile Edge Computing (FMEC), 2023

William Lindskog

Christian Prehofer

Sarandeep Singh

212

1

0

03 May 2024

Gradient-less Federated Gradient Boosting Trees with Learnable Learning
Rates

Gradient-less Federated Gradient Boosting Trees with Learnable Learning Rates

Daniel J. Beutel

Nicholas D. Lane

288

29

0

15 Apr 2023

FederBoost: Private Federated Learning for GBDT

FederBoost: Private Federated Learning for GBDT

Jian Liu

Kui Ren

555

83

0

05 Nov 2020

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