Scaling Federated Learning for Fine-tuning of Large Language Models

Agrin Hilmkil, Sebastian Callh, Matteo Barbieri +3

Federated learning (FL) is a promising approach to distributed compute, as well as distributed data, and provides a level of privacy and compliance to legal frameworks. This makes…