Gregor Ulm

Showing 4 publications

2020

S-RASTER: contraction clustering for evolving data streams

Gregor Ulm, Simon Smith, Adrian Nilsson et al

Journal of Big Data. Vol. 7 (1)

Journal article

2018

A Performance Evaluation of Federated Learning Algorithms

Adrian Nilsson, Simon Smith, Gregor Ulm et al

DIDL'18: PROCEEDINGS OF THE SECOND WORKSHOP ON DISTRIBUTED INFRASTRUCTURES FOR DEEP LEARNING. Vol. December 2018, p. 1-8

Paper in proceeding

Show project

2017

Purely Functional Federated Learning in Erlang

Gregor Ulm, Emil Gustavsson, Mats Jirstrand

Proceedings of the 29th Symposium on Implementation and Application of Functional Languages (IFL 2017), p. 160-167

Paper in proceeding

2017

Functional Federated Learning in Erlang

Gregor Ulm, Emil Gustavsson, Mats Jirstrand

Proceedings of the 5th Swedish Workshop on Data Science (SweDS 2017)

Conference poster

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Showing 1 research projects

2016–2017

Big Data Processing in the context of Smart Buildings,

Adones Rukundo Computer Science and Engineering (Chalmers)

Philippas Tsigas Networks and Systems (Chalmers)

Magnus Almgren Networks and Systems (Chalmers)

Gregor Ulm Networks and Systems (Chalmers)

Christian Marx Building Technology

York Ostermeyer Building Technology

Tommie Månsson Building Technology

Chalmers

Climate-KIC

There might be more projects where Gregor Ulm participates, but you have to be logged in as a Chalmers employee to see them.