2024
A Fast, Performant, Secure Distributed Training Framework For LLM
ICASSP 2024accepted
The distributed (federated) LLM is an important method for co-training the domain-specific LLM using siloed data. However, maliciously stealing model parameters and data from the server or client side has become an urgent problem to be solved. In this paper, we propose a secure distributed LLM based…