SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks

Sajid Hussain, Muhammad Sohail, Nauman Ali Khan

Background: Federated Learning (FL) has emerged as a promising paradigm for training machine learning models while preserving data privacy. However, applying FL to Natural Language…