Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models

Yingqi Hu, Zhuo Zhang, Jingyuan Zhang +4

Federated large language models (FedLLMs) enable cross-silo collaborative training among institutions while preserving data locality, making them appealing for privacy-sensitive do…