Safe-FedLLM: Delving into the Safety of Federated Large Language Models

arXiv:2601.07177v3 Announce Type: replace-cross Abstract: Federated learning (FL) addresses privacy and data-silo issues in the training of large language models (LLMs). Most prior work focuses on improving the efficiency of federated learning for LLMs (FedLLM). However, security in open federated...