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OpBoost: A Vertical Federated Tree Boosting Framework Based on
  Order-Preserving Desensitization

OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization

4 October 2022
Xiaochen Li
Yuke Hu
Weiran Liu
Hanwen Feng
Li Peng
Yuan Hong
Kui Ren
Zhan Qin
    FedML
ArXivPDFHTML

Papers citing "OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization"

4 / 4 papers shown
Title
FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint
Shuo Shao
Haozhe Zhu
Hongwei Yao
Yiming Li
Tianwei Zhang
Z. Qin
Kui Ren
74
0
0
28 Jan 2025
A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in
  Federated Learning
A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning
Yuxin Yang
Qiang Li
Chenfei Nie
Yuan Hong
Meng Pang
Binghui Wang
AAML
FedML
19
1
0
21 Jul 2024
A Survey for Federated Learning Evaluations: Goals and Measures
A Survey for Federated Learning Evaluations: Goals and Measures
Di Chai
Leye Wang
Liu Yang
Junxue Zhang
Kai Chen
Qian Yang
ELM
FedML
17
21
0
23 Aug 2023
AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local
  Differential Privacy
AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy
L. Du
Zhikun Zhang
Shaojie Bai
Changchang Liu
S. Ji
Peng Cheng
Jiming Chen
82
36
0
14 Oct 2021
1