Adrian Nilsson

According to our database, Adrian Nilsson authored at least 6 papers between 2018 and 2023.

Collaborative distances:

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

2023

The AutoSPADA Platform: User-Friendly Edge Computing for Distributed Learning and Data Analytics in Connected Vehicles.

Adrian Nilsson, Simon Smith, Jonas Hagmar, Magnus Önnheim, Mats Jirstrand

CoRR, 2023

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

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