About this document

Federated Learning in NLP Review by lxt18022003 is a document available to read on EtoBox.

This document presents a systematic literature review on federated learning (FL) applications in natural language processing (NLP), highlighting its advantages in privacy preservation compared to centralized machine learning. The review analyzes 36 recent papers, identifying key challenges such as convergence issues, security vulnerabilities, and the impact of non-IID data on model performance. The authors aim to provide insights into the current state of FL in NLP, focusing on model improvement, privacy, s

Author

lxt18022003

Language

EN