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name [?]	Training of image categorization model (Federated Learning RO-Crate example)
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description [?]	Training of an image categorization model using Flower and PyTorch. The Flower configuration is based on the quickstart-pytorch tutorial (https://flower.ai/docs/framework/tutorial-quickstart-pytorch.html). This is an example RO-Crate demonstrating the Federated Learning RO-Crate Profile.
datePublished [?]	2026-02-27T13:50:54+00:00
author [?]	Eli Chadwick
conformsTo [?]	Process Run Crate
hasPart [?]	uoft-cs/cifar10 (Hugging Face dataset) Flower project folder Flower configuration scripts Flower project configuration TOML Flower project README Output model
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mentions [?]	Execution of federated learning process
publisher [?]	The University of Manchester
about [?]	ro-crate-metadata.json

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@id	https://huggingface.co/datasets/uoft-cs/cifar10/
name [?]	uoft-cs/cifar10 (Hugging Face dataset)
@type	Dataset
description [?]	The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images. The dataset is divided into five training batches and one test batch, each with 10000 images. The test batch contains exactly 1000 randomly-selected images from each class. The training batches contain the remaining images in random order, but some training batches may contain more images from one class than another. Between them, the training batches contain exactly 5000 images from each class.
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@id	quickstart-pytorch/
name [?]	Flower project folder
@type	Dataset
description [?]	A Flower project based on the quickstart-pytorch tutorial
hasPart [?]	Flower configuration scripts Flower project configuration TOML Flower project README
hasPart [?]	Training of image categorization model (Federated Learning RO-Crate example)
about [?]	Flower project README

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@id	quickstart-pytorch/pytorchexample/
name [?]	Flower configuration scripts
@type	Dataset
description [?]	Flower scripts written in Python which configure the client app, server app, datasets, and model
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@id	quickstart-pytorch/pyproject.toml
name [?]	Flower project configuration TOML
@type	File
description [?]	A TOML file which includes the configuration for the Flower project. It's also a Python project configuration file.
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@id	quickstart-pytorch/README.md
name [?]	Flower project README
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description [?]	A Markdown file containing instructions for how to run the project.
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about [?]	Flower project folder
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@id	quickstart-pytorch/final_model.pt
name [?]	Output model
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description [?]	Model trained using Flower federated learning process
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name [?]	Execution of federated learning process
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description [?]	Execution of the federated learning process using `flwr run`
agent [?]	Eli Chadwick
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affiliation [?]	Eli Chadwick