federated learning

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.