> For the complete documentation index, see [llms.txt](https://low-codeai.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://low-codeai.gitbook.io/docs/how-it-works/decentralized-model-training.md).

# Decentralized Model Training

Decentralized Model Training in Low-Code AI leverages the power of distributed computing and blockchain technology to enable collaborative and secure model development. Unlike traditional centralized AI systems, where all training is performed on a single server or data center, Low-Code AI’s decentralized approach allows for the training process to be spread across multiple contributors. This provides several key benefits, including enhanced security, improved model accuracy, and a more equitable ecosystem.