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A Hybrid Federated Kernel Regularized Least Squares Algorithm

A Hybrid Federated Kernel Regularized Least Squares Algorithm

24 July 2024
Celeste Damiani
Yulia Rodina
Sergio Decherchi
    FedML
ArXivPDFHTML

Papers citing "A Hybrid Federated Kernel Regularized Least Squares Algorithm"

8 / 8 papers shown
Title
Communication-Efficient Hybrid Federated Learning for E-health with
  Horizontal and Vertical Data Partitioning
Communication-Efficient Hybrid Federated Learning for E-health with Horizontal and Vertical Data Partitioning
Chong Yu
Shuaiqi Shen
Shiqiang Wang
Kuan Zhang
Hai Zhao
FedML
59
4
0
15 Apr 2024
An Efficient Federated Distillation Learning System for Multi-task Time
  Series Classification
An Efficient Federated Distillation Learning System for Multi-task Time Series Classification
Huanlai Xing
Zhiwen Xiao
R. Qu
Zonghai Zhu
Bowen Zhao
FedML
56
109
0
30 Dec 2021
When the Curious Abandon Honesty: Federated Learning Is Not Private
When the Curious Abandon Honesty: Federated Learning Is Not Private
Franziska Boenisch
Adam Dziedzic
R. Schuster
Ali Shahin Shamsabadi
Ilia Shumailov
Nicolas Papernot
FedML
AAML
95
185
0
06 Dec 2021
An Efficient Framework for Clustered Federated Learning
An Efficient Framework for Clustered Federated Learning
Avishek Ghosh
Jichan Chung
Dong Yin
Kannan Ramchandran
FedML
68
858
0
07 Jun 2020
Practical Federated Gradient Boosting Decision Trees
Practical Federated Gradient Boosting Decision Trees
Yue Liu
Zeyi Wen
Bingsheng He
FedML
AI4CE
108
193
0
11 Nov 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for
  Data Privacy and Protection
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
Yue Liu
Zeyi Wen
Zhaomin Wu
Sixu Hu
Naibo Wang
Yuan N. Li
Xu Liu
Bingsheng He
FedML
98
1,001
0
23 Jul 2019
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
397
17,468
0
17 Feb 2016
Learning in a Large Function Space: Privacy-Preserving Mechanisms for
  SVM Learning
Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning
Benjamin I. P. Rubinstein
Peter L. Bartlett
Ling Huang
N. Taft
104
295
0
30 Nov 2009
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