# Federated learning with TensorOpera Federated learning and its practical benefits have recently started to see widespread application. This article will not delve into the concept of federated learning itself but will focus on applying it to leverage the GPU infrastructure of Inferix. Several foundational projects have developed tools/SDK for federated learning developers. After extensive evaluation, we have chosen the open-source TensorOpera:registered: as the basis for developing the Inferix Federated Learning framework. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.inferix.io/inferix-whitepaper/decentralized-federated-ai/federated-learning-with-tensoropera.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.