Federated Fine-Tuning for Tabular Models (Beyond Mobile LLMs)

This story was originally published on HackerNoon at: https://hackernoon.com/federated-fine-tuning-for-tabular-models-beyond-mobile-llms . Federated fine-tuning methods for secure, private and scalable tabular model training in regulated sectors. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning . You can also check exclusive content about #llms , #fine-tuning-llms , #ai , #artificial-intelligence , #artificial-intelligence-trends , #policy , #ai-policy , #good-company , and more. This story was written by: @sanya_kapoor . Learn more about this writer by checking @sanya_kapoor's about page, and for more stories, please visit hackernoon.com . Federated Pipelines for XGBoost and TabNet are a way to federate data models. They can be made practical with the right abstractions.