A TRANSFORMER MODEL APPROACH TO FEDERATED LEARNING FOR AGGRESSIVE CONTENT CLASSIFICATION TASKS
Abstract. The rapid development of digital communication has led to an increase in the number of offensive postings on the Internet. Automatic detection of such content is one of the most pressing problems of our time. However, traditional approaches based on collecting data on a central server can compromise the privacy of personal information. One […]