IEEE

Privacy-Aware Split Federated Learning for LLM Fine-Tuning Over Internet of Things

Abstract: The proliferation of Internet of Things (IoT)-generated distributed personal data enables user-specific large language model (LLM) adaptation at the edge. The split federated learning (SFL) ...
IEEE

Mixture of Specialized Experts for Model-Heterogeneous Personalized Federated Learning

Abstract: Federated learning is a distributed machine learning paradigm designed to facilitate collaborative model training while preserving user data privacy. However, in practical scenarios, data ...