Quick Start Guide

Learn the basics of Rhino FCP in less than two hours

Do you want to get started with Rhino Federated Computing Platform (FCP), but you only have a little time? Use this guide to get started quickly! In about 90 minutes, you'll learn how to create a project, access data and create a dataset, create and run code objects, and export data.

Prerequisites

Before you begin:

• Make sure your account has been set up.

• Verify that the FCP Client is installed and online by checking the 'Your Rhino Client' section under 'Settings > My Account'. It should match the appearance in the screenshot below:

• Your environment has been configured.

Contact Rhino Support for help to complete these tasks if needed.

What is Rhino FCP?

Learn about Federated Computing and get a basic walkthrough of Rhino FCP in just five minutes. Read the following topics.

• The Rhino Federated Computing Platform (FCP)

• Federated Datasets

• Federated Learning Overview

Quick Start Steps

The following are the quick start steps. Each step includes the amount of time it should take for you to complete task.

1

Create a Project

Time to complete: 15 minutes

After installing the FCP client, you’ll need to create a project and set permissions. Click the following links to learn to do these things.

1. Read the following to learn more about the concept of a project: What is a Project.

2. Watch the Create a Project video.

1. Use the following links for step-by-step information on how to set up your new project and set up permissions.

• Creating a New Project and Setting Up Permissions

• Persona and Permissions Policies Reference

1. (Optional) If you want to dig a little deeper, read the following. Otherwise, move on to the next step.

• Typical Project Workflows

• Viewing the Project Dashboard

2

Access Data and Create a Dataset

Time to Complete: 30 Minutes

Now that your project has been set up, you’ll need to do two things:

• Access data using SFTP, SMB, S3 (AWS), GCP/CS or SQL.

• Create a dataset from DICOM, CSV, or SQL data sources.

Complete the following steps.

1. Learn about datasets by reading this aritcle: What is a Dataset?

2. Learn how to access data from SMB, AWS (S3), or Google (GCP)/CS, by reading Client Mounted Storage: How to access data in AWS S3, GCP CS or the SMB network files.

3. Next, you'll need to access and import the data using SFTP. To do this:

   1. Find your Rhino Client SFTP credentials in the Setting page, see more details in Viewing Your Account, SFTP, Container and Artifact Settings.

   2. Watch the Upload data via SFTP video.

1. The next step is to access and import data from SQL. To learn how to do this, watch the following video.

1. To import a dataset from data in your client (stored in /rhino_data), do one of the following.

   1. To create a dataset from DICOM files, watch the following video.

b. To import a dataset from a CSV file, watch the following video.

1. If you want to dig a little deeper, read the following.

• Importing, Viewing a Dataset's Configuration, and Exporting a Datasets

• How can I find my SFTP Server Name/IP Address, SFTP Username, SFTP Password, ECR Workgroup Repository Name, ECR Access Key ID, ECR Secret Access Key?

• Pushing Containers to the ECR

• Using SQL to Extract Metrics and Import Data From a Database

3

Create and Run Code Objects (Optional)

Time to complete: 15-45 minutes

After you’ve imported the data and created a data set, you can create code objects. This is an optional step. If you don't want to do this, go to the next step (Export Data).

1. First, read the following to understand the basics of a code object.

• What is a Code Object?

1. Next, watch the video for the code object that you'd like to create. See the links below.

• How to create a new Python Code Object

• How to create a new Generalized Compute Object

• How to create a new Interactive Container Object

• How to create a new NVIDIA FLARE Code Object

1. If you want to dive deeper, see the following.

• Creating and Running a Python Code Object

• Creating and Running a New Generalized Compute Code Object

• Creating and Running NVFlare Code and Running Inference

• Creating and Running Interactive Container Code

4

Export Data

Time to complete: 5 minutes.

As our last step in this Quick Start Guide, you will learn how to export data.

1. Watch the following video.

2. If you want more information on how to export a dataset, see Importing and Exporting Datasets to and from Your Network Storage.

Next Steps

Now that you’ve completed the quick start guide, you are ready to explore other features of FCP or dig deeper into the ones you. Here are a few resources to get you started.

Other Features

Watch or read the following resources to learn more about how to use FCP.

• Viewing a Datasets UID

• How to Set Up Pre-Approved Code

• Create a Secure Access List

• Download Model Parameters

• How to access model run logs

• How to use 3D Slicer on the Rhino Platform

Other Resources

• To learn about how to programmatically access FCP, check the article What is the Rhino SDK?

• To learn about new features and updates, check the article Rhino FCP Release Notes

• To learn about Rhino, check the Rhino Federated Computing Company Website

Getting Help

If you have received an error or run into any issues throughout the process, please reach out to [e-mail] for more assistance.