Gergely D. Németh

PhD Student photo

Gergely Dániel Németh is an ELLIS PhD student.

He studied computer science at the Budapest University of Technology and Economics and at the University of Manchester, where he worked on Natural Language Processing (NLP). Later, he worked on applied Machine Learning (ML) projects focused on Computer Vision (CV) at Asura Technologies, a Hungarian StartUp leading in smart traffic applications. He started his PhD at ELLIS Alicante in November 2021. His PhD topics are AI Ethics and Federated Learning (FL). He focuses on the human interest in the cooperative learning systems. His supervisors are Nuria Oliver (ELLIS Alicante), Miguel Angel Lozano (University of Alicante) and Novi Quadrianto (University of Sussex).

Link to ORCID profile: ORCID iD icon

Publications in association with ELLIS Alicante


Németh, G. D., Lozano, M. A., Quadrianto, N., & Oliver, N. (2023). Addressing Membership Inference Attack in Federated Learning with Model Compression. arXiv preprint:2311.17750.


Németh, G. D., Lozano, M. A., Quadrianto, N., & Oliver, N. (2022). A Snapshot of the Frontiers of Client Selection in Federated Learning. Transactions on Machine Learning Research.