Paper “Current Research and Open Gaps in Federated Large Language Models: A Systematic Review” is out!
Published:
I’m very happy to share my first publication: the paper “Current Research and Open Gaps in Federated Large Language Models: A Systematic Review” has been published in the journal SBC Computing Reviews, from the Brazilian Computer Society. 🎉
In this paper, we present how FedLLMs combine Large Language Models with Federated Learning to train models in a decentralized way while preserving data privacy. We also discuss the challenges and issues inherited from both fields.
This work was only possible thanks to the dedication of the whole team: Roberto Ribeiro, Frederico Gadelha Guimarães, Hélder Seixas Lima, Vinicius Martins, Allana Tavares, Larissa Duarte Santana, Beatriz Pereira, Júlia Borba and Melissa Lima. Thank you all!
The paper is open access:
🔗 https://journals-sol.sbc.org.br/index.php/reviews/article/view/6627