Exploring a Federated Learning Approach to Enhance Authorship Attribution of Misleading Information from Heterogeneous Sources

Published in Proceedings of the International Joint Conference on Neural Networks, 2021

Recommended citation: Fiammetta Marulli, Antonio Balzanella, Lelio Campanile, Mauro Iacono, Michele Mastroianni, "Exploring a Federated Learning Approach to Enhance Authorship Attribution of Misleading Information from Heterogeneous Sources." Proceedings of the International Joint Conference on Neural Networks, 2021. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116453728&doi=10.1109%2fIJCNN52387.2021.9534377&partnerID=40&md5=1a66f680877de40ba6525a359903672e