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. 2008.06233
  4. Cited By
Privacy-Preserving Asynchronous Federated Learning Algorithms for
  Multi-Party Vertically Collaborative Learning

Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning

14 August 2020
Bin Gu
An Xu
Zhouyuan Huo
Cheng Deng
Heng-Chiao Huang
    FedML
ArXivPDFHTML

Papers citing "Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning"

10 / 10 papers shown
Title
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in
  Medicine
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
A. Chaddad
Qizong Lu
Jiali Li
Y. Katib
R. Kateb
C. Tanougast
Ahmed Bouridane
Ahmed Abdulkadir
OOD
24
38
0
17 Nov 2022
Coresets for Vertical Federated Learning: Regularized Linear Regression
  and $K$-Means Clustering
Coresets for Vertical Federated Learning: Regularized Linear Regression and KKK-Means Clustering
Lingxiao Huang
Zhize Li
Jialin Sun
Haoyu Zhao
FedML
31
9
0
26 Oct 2022
Latency Aware Semi-synchronous Client Selection and Model Aggregation
  for Wireless Federated Learning
Latency Aware Semi-synchronous Client Selection and Model Aggregation for Wireless Federated Learning
Liang Yu
Xiang Sun
Rana Albelaihi
Chen Yi
FedML
24
13
0
19 Oct 2022
Towards Communication-efficient Vertical Federated Learning Training via
  Cache-enabled Local Updates
Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates
Fangcheng Fu
Xupeng Miao
Jiawei Jiang
Huanran Xue
Bin Cui
FedML
22
21
0
29 Jul 2022
Decision Models for Selecting Federated Learning Architecture Patterns
Decision Models for Selecting Federated Learning Architecture Patterns
Sin Kit Lo
Qinghua Lu
Hye-Young Paik
Liming Zhu
AI4CE
FedML
29
0
0
28 Apr 2022
Fair and efficient contribution valuation for vertical federated
  learning
Fair and efficient contribution valuation for vertical federated learning
Zhenan Fan
Huang Fang
Zirui Zhou
Jian Pei
M. Friedlander
Yong Zhang
TDI
FedML
16
25
0
07 Jan 2022
A Vertical Federated Learning Method For Multi-Institutional Credit
  Scoring: MICS
A Vertical Federated Learning Method For Multi-Institutional Credit Scoring: MICS
Yusuf Efe
FedML
23
5
0
17 Nov 2021
FLRA: A Reference Architecture for Federated Learning Systems
FLRA: A Reference Architecture for Federated Learning Systems
Sin Kit Lo
Qinghua Lu
Hye-Young Paik
Liming Zhu
FedML
AI4CE
45
24
0
22 Jun 2021
The OARF Benchmark Suite: Characterization and Implications for
  Federated Learning Systems
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems
Sixu Hu
Yuan N. Li
Xu Liu
Q. Li
Zhaomin Wu
Bingsheng He
FedML
11
53
0
14 Jun 2020
A Proximal Stochastic Gradient Method with Progressive Variance
  Reduction
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
84
736
0
19 Mar 2014
1