Reconstructing Training Data from Adapter-based Federated Large Language Models

Silong Chen, Yuchuan Luo, Guilin Deng +4

Adapter-based Federated Large Language Models (FedLLMs) are widely adopted to reduce the computational, storage, and communication overhead of full-parameter fine-tuning for web-sc…