Erika Duriakova

According to our database, Erika Duriakova authored at least 13 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

ALS Algorithm for Robust and Communication-Efficient Federated Learning.

Neil Hurley, Erika Duriakova, James Geraci, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Barry Smyth, Aonghus Lawlor

Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

Entity Matching with Large Language Models as Weak and Strong Labellers.

Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Erika Duriakova, Honghui Du, Neil Hurley, Aonghus Lawlor

Proceedings of the New Trends in Database and Information Systems, 2024

2021

Boosting the Training Time of Weakly Coordinated Distributed Machine Learning.

Erika Duriakova, Elias Z. Tragos, Aonghus Lawlor, Barry Smyth, Neil Hurley

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation.

Francisco J. Peña, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Erika Duriakova, Barry Smyth, Aonghus Lawlor

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

An Algorithmic Framework for Decentralised Matrix Factorisation.

Erika Duriakova, Weipéng Huáng, Elias Z. Tragos, Aonghus Lawlor, Barry Smyth, James Geraci, Neil Hurley

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019

PDMFRec: a decentralised matrix factorisation with tunable user-centric privacy.

Erika Duriakova, Elias Z. Tragos, Barry Smyth, Neil Hurley, Francisco J. Peña, Panagiotis Symeonidis, James Geraci, Aonghus Lawlor

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Engineering a Parallel Δ-stepping Algorithm.

Erika Duriakova, Deepak Ajwani, Neil Hurley

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

An Empirical Comparison of k-Shortest Simple Path Algorithms on Multicores.

Deepak Ajwani, Erika Duriakova, Neil Hurley, Ulrich Meyer, Alexander Schickedanz

Proceedings of the 47th International Conference on Parallel Processing, 2018

2016

An information theoretic approach to generalised blockmodelling for the identification of meso-scale structure in networks.

Neil J. Hurley, Erika Duriakova

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015

Parallel processing of filtered queries in attributed semantic graphs.

Adam Lugowski, Shoaib Kamil, Aydin Buluç, Samuel Williams, Erika Duriakova, Leonid Oliker, Armando Fox, John R. Gilbert

J. Parallel Distributed Comput., 2015

Reformulations of the Map Equation for Community Finding and Blockmodelling.

Neil J. Hurley, Erika Duriakova

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014

Analysis of the semi-synchronous approach to large-scale parallel community finding.

Erika Duriakova, Neil Hurley, Deepak Ajwani, Alessandra Sala

Proceedings of the second ACM conference on Online social networks, 2014

2013

High-Productivity and High-Performance Analysis of Filtered Semantic Graphs.

Aydin Buluç, Erika Duriakova, Armando Fox, John R. Gilbert, Shoaib Kamil, Adam Lugowski, Leonid Oliker, Samuel Williams

Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013