ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1911.11997
  4. Cited By
SecureGBM: Secure Multi-Party Gradient Boosting

SecureGBM: Secure Multi-Party Gradient Boosting

27 November 2019
Zhi Feng
Haoyi Xiong
Chuanyuan Song
Sijia Yang
Baoxin Zhao
Licheng Wang
Zeyu Chen
Shengwen Yang
Liping Liu
Jun Huan
    FedML
ArXivPDFHTML

Papers citing "SecureGBM: Secure Multi-Party Gradient Boosting"

2 / 2 papers shown
Title
Stochastic Gradient Descent for Non-smooth Optimization: Convergence
  Results and Optimal Averaging Schemes
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir
Tong Zhang
146
574
0
08 Dec 2012
Gossip Learning with Linear Models on Fully Distributed Data
Gossip Learning with Linear Models on Fully Distributed Data
Róbert Ormándi
István Hegedüs
Márk Jelasity
FedML
OOD
57
168
0
07 Sep 2011
1