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 (RecSys, 2019)

PyRecGym: a reinforcement learning gym for recommender systems. - Bichen Shi; Makbule Gulcin Ozsoy; Neil Hurley; Barry Smyth; Elias Z. Tragos; James Geraci; Aonghus Lawlor (RecSys, 2019)

FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems. - Khalil Muhammad; Qinqin Wang; Diarmuid O'Reilly-Morgan; Elias Z. Tragos; Barry Smyth; Neil Hurley; James Geraci; Aonghus Lawlor (KDD, 2020)

An Algorithmic Framework for Decentralised Matrix Factorisation. - Erika Duriakova; Weipéng Huáng; Elias Z. Tragos; Aonghus Lawlor; Barry Smyth; James Geraci; Neil Hurley (ECML/PKDD (2), 2020)

Keeping People Active and Healthy at Home Using a Reinforcement Learning-based Fitness Recommendation Framework. - Elias Z. Tragos; Diarmuid O'Reilly-Morgan; James Geraci; Bichen Shi; Barry Smyth; Cailbhe Doherty; Aonghus Lawlor; Neil Hurley (IJCAI, 2023)

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 (EuroMLSys@EuroSys, 2024)

A Hybrid Decentralised Learning Topology for Recommendations with Improved Privacy. - Diarmuid O'Reilly-Morgan; Elias Z. Tragos; James Geraci; Qinqin Wang; Neil Hurley; Barry Smyth; Aonghus Lawlor (EuroMLSys@EuroSys, 2024)