R-SFLLM: Jamming Resilient Framework for Split Federated Learning with Large Language Models

Aladin Djuhera, Vlad C. Andrei, Xinyang Li +3

Split federated learning (SFL) is a compute-efficient paradigm in distributed machine learning (ML), where components of large ML models are outsourced to remote servers. A signifi…