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Distributed and Deep Vertical Federated Learning with Big Data

Distributed and Deep Vertical Federated Learning with Big Data

8 March 2023
Ji Liu
Xuehai Zhou
L. Mo
Shilei Ji
Yuan Liao
Zhu Li
Qinhua Gu
Dejing Dou
    FedML
ArXivPDFHTML

Papers citing "Distributed and Deep Vertical Federated Learning with Big Data"

14 / 14 papers shown
Title
SGDPO: Self-Guided Direct Preference Optimization for Language Model Alignment
SGDPO: Self-Guided Direct Preference Optimization for Language Model Alignment
Wenqiao Zhu
Ji Liu
Lulu Wang
Jun Wu
Yulun Zhang
78
0
0
18 May 2025
Accelerated Federated Learning with Decoupled Adaptive Optimization
Accelerated Federated Learning with Decoupled Adaptive Optimization
Jiayin Jin
Jiaxiang Ren
Yang Zhou
Lingjuan Lyu
Ji Liu
Dejing Dou
AI4CE
FedML
60
52
0
14 Jul 2022
Large-scale Knowledge Distillation with Elastic Heterogeneous Computing
  Resources
Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources
Ji Liu
Daxiang Dong
Xi Wang
An Qin
Xingjian Li
P. Valduriez
Dejing Dou
Dianhai Yu
55
6
0
14 Jul 2022
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning
  Using Shared Data on the Server
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server
Hong Zhang
Ji Liu
Juncheng Jia
Yang Zhou
H. Dai
Dejing Dou
FedML
48
45
0
25 Apr 2022
Data Placement for Multi-Tenant Data Federation on the Cloud
Data Placement for Multi-Tenant Data Federation on the Cloud
Ji Liu
L. Mo
Sijia Yang
Jingbo Zhou
Shilei Ji
Haoyi Xiong
Dejing Dou
FedML
31
7
0
15 Dec 2021
From Distributed Machine Learning to Federated Learning: A Survey
From Distributed Machine Learning to Federated Learning: A Survey
Ji Liu
Jizhou Huang
Yang Zhou
Xuhong Li
Shilei Ji
Haoyi Xiong
Dejing Dou
FedML
OOD
94
253
0
29 Apr 2021
Interpretable Deep Learning: Interpretation, Interpretability,
  Trustworthiness, and Beyond
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond
Xuhong Li
Haoyi Xiong
Xingjian Li
Xuanyu Wu
Xiao Zhang
Ji Liu
Jiang Bian
Dejing Dou
AAML
FaML
XAI
HAI
59
332
0
19 Mar 2021
Federated Doubly Stochastic Kernel Learning for Vertically Partitioned
  Data
Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data
Bin Gu
Zhiyuan Dang
Xiang Li
Heng-Chiao Huang
FedML
40
67
0
14 Aug 2020
Cloud-based Federated Boosting for Mobile Crowdsensing
Cloud-based Federated Boosting for Mobile Crowdsensing
Zhuzhu Wang
Yilong Yang
Yang Liu
Ximeng Liu
B. Gupta
Jianfeng Ma
FedML
31
13
0
09 May 2020
Multi-Participant Multi-Class Vertical Federated Learning
Multi-Participant Multi-Class Vertical Federated Learning
Siwei Feng
Han Yu
FedML
64
89
0
30 Jan 2020
FedVision: An Online Visual Object Detection Platform Powered by
  Federated Learning
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
Yang Liu
Anbu Huang
Yu Luo
He Huang
Youzhi Liu
Yuanyuan Chen
Lican Feng
Tianjian Chen
Hang Yu
Qiang Yang
FedML
155
301
0
17 Jan 2020
Advances and Open Problems in Federated Learning
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedML
AI4CE
234
6,252
0
10 Dec 2019
Federated Machine Learning: Concept and Applications
Federated Machine Learning: Concept and Applications
Qiang Yang
Yang Liu
Tianjian Chen
Yongxin Tong
FedML
72
2,318
0
13 Feb 2019
GraphLab: A New Framework For Parallel Machine Learning
GraphLab: A New Framework For Parallel Machine Learning
Yucheng Low
Joseph E. Gonzalez
Aapo Kyrola
Danny Bickson
Carlos Guestrin
J. M. Hellerstein
55
908
0
09 Aug 2014
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