Adrian Nilsson

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 pdf

Mats Jirstrand, Simon Smith, Gregor Ulm, 2019, ArXiv.

Facilitating Rapid Prototyping in the OODIDA Data Analytics Platform via Active-Code Replacement.

Mats Jirstrand, Simon Smith, Gregor Ulm, 2019 .

Evaluating the Performance of Federated Learning A Case Study of Distributed Machine Learning with Erlang

Adrian Nilsson, Simon Smith, 2018 .

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

Mats Jirstrand, Gregor Ulm, Adrian Nilsson, 2020, Array.

S-RASTER: contraction clustering for evolving data streams

Mats Jirstrand, Gregor Ulm, Adrian Nilsson, 2019, Journal of Big Data.

A Performance Evaluation of Federated Learning Algorithms

Mats Jirstrand, Gregor Ulm, Adrian Nilsson, 2018, DIDL@Middleware.

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

Mats Jirstrand, Gregor Ulm, Adrian Nilsson, 2019, Data Science and Engineering.

Mobile virtual worlds

Adrian Nilsson, Nils Bylander, Gustaf Öqvist, 2011 .