A Performance Evaluation of Federated Learning Algorithms. - Adrian Nilsson; Simon Smith 005; Gregor Ulm; Emil Gustavsson; Mats Jirstrand (DIDL@Middleware, 2018)

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 005; Adrian Nilsson; Emil Gustavsson; Mats Jirstrand (CoRR, 2019)

Facilitating rapid prototyping in the distributed data analytics platform OODIDA via active-code replacement. - Gregor Ulm; Simon Smith 005; Adrian Nilsson; Emil Gustavsson; Mats Jirstrand (Array, 2020)

S-RASTER: contraction clustering for evolving data streams. - Gregor Ulm; Simon Smith 005; Adrian Nilsson; Emil Gustavsson; Mats Jirstrand (J. Big Data, 2020)

OODIDA: On-Board/Off-Board Distributed Real-Time Data Analytics for Connected Vehicles. - Gregor Ulm; Simon Smith 005; Adrian Nilsson; Emil Gustavsson; Mats Jirstrand (Data Sci. Eng., 2021)

The AutoSPADA platform: User-friendly edge computing for distributed learning and data analytics in connected vehicles. - Adrian Nilsson; Simon Smith 005; Jonas Hagmar; Magnus Önnheim; Mats Jirstrand (Internet Things, 2025)