Adrian Flanagan

Federated Multi-view Matrix Factorization for Personalized Recommendations

Suleiman A. Khan, Adrian Flanagan, Were Oyomno, 2020, ECML/PKDD.

Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions pdf

Josep Domingo-Ferrer, Alberto Blanco-Justicia, Kuan Eeik Tan, 2020, Eng. Appl. Artif. Intell..

SeqL at SemEval-2022 Task 11: An Ensemble of Transformer Based Models for Complex Named Entity Recognition Task

P. Vossen, Adrian Flanagan, Lisa Beinborn, 2022, SEMEVAL.

Federated Multi-view Matrix Factorization for Personalized Recommendations pdf

Kuan Eeik Tan, Suleiman A. Khan, Were Oyomno, 2020, ECML/PKDD.

Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System pdf

Kuan Eeik Tan, Qiang Fu, Elena Ivannikova, 2019, ArXiv.

A Payload Optimization Method for Federated Recommender Systems

Adrian Flanagan, Zareen Alamgir, Muhammad Ammad-Ud-Din, 2021, RecSys.

A little goes a long way: Improving toxic language classification despite data scarcity

Tommi Grondahl, Mika Juuti, N. Asokan, 2020, FINDINGS.

A little goes a long way: Improving toxic language classification despite data scarcity

Adrian Flanagan, Mika Juuti, Tommi Grondahl, 2020, FINDINGS.