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Privacy-Preserving and Lossless Distributed Estimation of High-Dimensional Generalized Additive Mixed Models

Privacy-Preserving and Lossless Distributed Estimation of High-Dimensional Generalized Additive Mixed Models

Daniel Schalk
Bernd Bischl
David Rügamer
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Papers citing "Privacy-Preserving and Lossless Distributed Estimation of High-Dimensional Generalized Additive Mixed Models"

3 / 3 papers shown
Title
Scalable Estimation for Structured Additive Distributional Regression
Scalable Estimation for Structured Additive Distributional Regression
Nikolaus Umlauf
Johannes Seiler
Mattias Wetscher
T. Simon
S. Lang
Nadja Klein
27
6
0
13 Jan 2023
Practical Federated Gradient Boosting Decision Trees
Practical Federated Gradient Boosting Decision Trees
Yue Liu
Zeyi Wen
Bingsheng He
FedML
AI4CE
105
192
0
11 Nov 2019
Boosting Factor-Specific Functional Historical Models for the Detection of Synchronisation in Bioelectrical Signals
Boosting Factor-Specific Functional Historical Models for the Detection of Synchronisation in Bioelectrical Signals
David Rügamer
S. Brockhaus
K. Gentsch
K. Scherer
S. Greven
73
31
0
20 Sep 2016

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