# dsMTL 0.9.9 released

**URL:** <https://datashield.discourse.group/t/dsmtl-0-9-9-released/753>\
**Category:** Releases\
**Created:** [3 April 2023 17:28 UTC](https://datashield.discourse.group/t/dsmtl-0-9-9-released/753 "2023-04-03T17:28:29Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![HankCao](https://avatars.discourse-cdn.com/v4/letter/h/b782af/32.png) [@HankCao](https://datashield.discourse.group/u/HankCao)\
**Post date:** [3 April 2023 17:28 UTC](https://datashield.discourse.group/t/dsmtl-0-9-9-released/753/1 "2023-04-03T17:28:29Z")

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dsMTL (Federated Multi-Task Learning based on DataSHIELD) provided federated, privacy-preserving MTL analysis. dsMTL was developed based on DataSHIELD, an ecosystem supporting the federated analysis of sensitive individual-level data that remains stored behind the data owner’s firewall throughout analysis. Multi-task Learning (MTL) aimed at simultaneously learning the outcome (e.g. diagnosis) associated patterns across datasets with dataset-specific, as well as shared, effects. MTL has numerous exciting application areas, such as comorbidity modeling, and has already been applied successfully for e.g. disease progression analysis.

 ![image](https://global.discourse-cdn.com/free1/uploads/datashield1/original/1X/d34933c0284be51b066e920155fb273c1b63f214.png)

dsMTL contained these algorithms:

 ![image](https://global.discourse-cdn.com/free1/uploads/datashield1/original/1X/c2f93a9df889c4fc7a1610cf571ee3c37b384886.png)

This version of dsMTL can be found here:

Client: [GitHub - transbioZI/dsMTLClient: dsMTL client site functions](https://github.com/transbioZI/dsMTLClient)

Server: [GitHub - transbioZI/dsMTLBase: dsMTL server site functions](https://github.com/transbioZI/dsMTLBase)

In this version, we added two significant features.

1, We added a new algorithm dsLassoCov which allowed the control of covariates during the model training. The manuscript will be attached as soon as possible. The algorithm codes is here: [dsMTLClient/ds.LassoCov.R at main · transbioZI/dsMTLClient · GitHub](https://github.com/transbioZI/dsMTLClient/blob/main/R/ds.LassoCov.R)

2, we re-create all algorithms’ tutorial and test files with the R package DSLite. This is a simulation software of DataSHIELD servers in one machine. The testing files can be found here: [dsMTLClient/tests/DSLite at main · transbioZI/dsMTLClient · GitHub](https://github.com/transbioZI/dsMTLClient/tree/main/tests/DSLite)

Dr. Han Cao