June 3, 2024
Dr. Zoltán Alexin held a lecture titled “National security risks associated with the imprudent handling of health data” as part of the academic event New Themes and Trends in The Study of Secret Services in the 21st Century, held on the 24th of April.
May 10, 2024
The paper titled “Exploring the Synergy of Fog Computing, Blockchain, and Federated Learning for IoT Applications: A Systematic Literature Review”, authored by Wilson Valdez Solis, Dr. Attila Kertész (Department of Software Engineering, University of Szeged), and Juan Marcelo Parra-Ullauri (Smart Internet Lab, University of Bristol) was published in the Q1 journal IEEE Access.
April 4, 2023
The article titled “Privacy-preserving Federated Learning and its application to natural language processing” written by Balázs Nagy, István Hegedűs, Noémi Sándor, Balázs Egedi, Haaris Mehmood, Karthikeyan Saravanan, Gábor Lóki, and Ákos Kiss has been accepted into the prestigious journal Knowledge-Based Systems.
December 1, 2022
Dr. Zoltán Alexin presented the newest results of his research on data entropy at the International Conference on Learning and Implementing Social Innovation (Coimbra, Portugal) and at the 35th Neumann Colloquium (Szeged, Hungary).
July 21, 2022
The proceedings of the Goodbrother project’s International Conference on Privacy-friendly and Trustworthy Technology for Society conference are now available!
Dr. Zoltán Alexin’s (Department of Software Engineering) article titled “Entropy based approach to personal data” was among those published after the conference.
June 30, 2022
The Goodbrother project held its first training school in Skopje from 6-10th of June. Dr. Zoltán Alexin, who is a member of working group 1 in the project, was there to give his presentation titled Pseudonymization and anonymization of datasets.
