Gregor Ulm

According to our database, Gregor Ulm authored at least 9 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2021

OODIDA: On-Board/Off-Board Distributed Real-Time Data Analytics for Connected Vehicles.

Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand

Data Sci. Eng., 2021

2020

S-RASTER: contraction clustering for evolving data streams.

Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand

J. Big Data, 2020

Facilitating rapid prototyping in the distributed data analytics platform OODIDA via active-code replacement.

Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand

Array, 2020

2019

Contraction Clustering (RASTER): A Very Fast Big Data Algorithm for Sequential and Parallel Density-Based Clustering in Linear Time, Constant Memory, and a Single Pass.

Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand

CoRR, 2019

OODIDA: On-board/Off-board Distributed Data Analytics for Connected Vehicles.

Gregor Ulm, Emil Gustavsson, Mats Jirstrand

CoRR, 2019

Active-Code Replacement in the OODIDA Data Analytics Platform.

Gregor Ulm, Emil Gustavsson, Mats Jirstrand

Proceedings of the Euro-Par 2019: Parallel Processing Workshops, 2019

2018

Functional Federated Learning in Erlang (ffl-erl).

Gregor Ulm, Emil Gustavsson, Mats Jirstrand

Proceedings of the Functional and Constraint Logic Programming, 2018

A Performance Evaluation of Federated Learning Algorithms.

Adrian Nilsson, Simon Smith, Gregor Ulm, Emil Gustavsson, Mats Jirstrand

Proceedings of the Second Workshop on Distributed Infrastructures for Deep Learning, 2018

2017

Contraction Clustering (Raster) - A Big Data Algorithm for Density-Based Clustering in Constant Memory and Linear Time.

Gregor Ulm, Emil Gustavsson, Mats Jirstrand

Proceedings of the Machine Learning, Optimization, and Big Data, 2017