dsMTL Package
Development name
Name of server-side packages
Name of client-side packages
dsMTLClient
Date this information was late updated/checked
02/09/2021
Description of packages purpose
dsMTL (Federated Multi-Task Learning based on DataSHIELD) provided federated, privacy-preserving multi-task learning analysis. dsMTL aimed at simultaneously learning the outcome (e.g. diagnosis) associated patterns across datasets with dataset-specific, as well as shared, effects. Four sparse MTL methods were contained in dsMTL to disentangle specific structures of “shared-specific” components. In addition, Federated LASSO was also included due to its wide usage. dsMTL was suitable for biomedical applications, such as comorbidity analysis, multi-omics analysis, multi-modal data analysis, and high-dimensional molecular studies.

How to contact developer institution/team/individual
Han Cao (hank9cao@gmail.com), Youcheng Zhang, Carl Herrmann and Emanuel Schwarz, Heidelberg University, Germany
Latest version
Type distribution licence
GNU General Public License v3.0
Methods of obtaining package
-
What versions of R work with the package?
≥ 4.0.1
What R packages do the packages depend on?
Opal 3.0.3
dsBase 6.1.0
resourcer 1.0.1
dsMTLClient
DSI (≥ 1.2.0)
DSOpal (≥ 1.2.0)
corpcor
stats
Status
We are documenting the package