CV

Education

• PhD in Computer Science, ELLIS Unit Alicante, University of Alicante
  • Date: Nov 2021 - Present
  • Thesis: AI Fairness in Federated Learning
  • Supervisors Nuria Oliver,Novi Quadrianto, Miguel Angel Lozano
• M.S. in Advanced Computer Science: Artificial Intelligence, The University of Manchester
  • Date: Sept 2018 - Sept 2019
  • Thesis: Arguing with BERT: Argumentation Mining using contextualised embedding and transformers
  • Supervisor: André Freitas
• B.S. in Computer Science Engineering, Budapest Univesity of Technology and Economics
  • Date: Sept 2014 - Jan 2018
  • Thesis: Multilingual hyphenation using deep neural networks
  • Supervisor: Judit Ács

Work experience

• Nov 2019 - Aug 2021: Machine Learning Engineer
  • Asura Technologies Ltd.
  • Building state of the art Computer Vision and Natural Language Processing applications focusing on traffic related problems.
• Mar 2018 - Jun 2019: Game Developer
  • Bellum Games Ltd.
  • Game Developer of the Stellae online strategy game.
• Jan 2017 - Sept 2018: Head of Education
  • Open University for High Schoolers
  • Organizing lectures and managing speekers for the summer camp.
• Sept 2017 - Jan 2018: Teacher
  • Fazekas Mihály High School
  • Teaching advanced level programming for high schoolers with Morgan Stanley Scholarship.
• Sept 2016 - Jan 2018: Undergreaduate Teaching Assistant
  • Budapest University of Technology and Economics
  • Teaching assistant at the Department of Computer Science and Information Theory
• Jun 2017 - Aug 2017: Student Intern
  • Aitia International Inc.
  • Web Developer at the Speech Technology division
• Sep 2016 -Jun 2017: Teacher
  • ELTE Radnóti Miklós High School
  • Teaching programming to High School students

Skills

• Programming Experience:
  • Proficient: Python, C#, Java, C, C++
  • Familiar with: .Net, PHP, JavaScript
• Machine Learning experience with TensorFlow and Keras
• Version control with Git
• Web content development (WordPress, PHP, Java)
• Game Development:
  • Unity
  • Nintendo Switch
  • Android
• Leadership experience:
  • Project management
  • Event organization
• Teaching

Publications

Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning

Németh, G. D., Lozano, M. A., Quadrianto, N., & Oliver, N. (2025). " Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning" IEEE Access 10.1109/ACCESS.2025.3546478

A Snapshot of the Frontiers of Client Selection in Federated Learning

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

Hyphenation using deep neural networks

Németh, G. D., Ács, J. (2018). "Hyphenation using deep neural networks" XIV. Magyar Számítógépes Nyelvészeti Konferencia

Talks

Szótagolás mély neurális hálózatokkal

November 16, 2017

Talk at Budapest University of Technology and Economics, Building I., Budapest, HU

Teaching

Basics of programming - online

Introduction to the Theory of Computing 1, 2017

Advanced level programming

Introduction to the Theory of Computing 2, 2017

Basics of programming

Introduction to the Theory of Computing 2, 2016+

Volunteer experience

• Sept 2014 - Present: Organizer
  • Open University for High Schoolers