Flower Examples Documentation#
Welcome to Flower Examples’ documentation. Flower is a friendly federated learning framework.
Join the Flower Community#
The Flower Community is growing quickly - we’re a friendly group of researchers, engineers, students, professionals, academics, and other enthusiasts.
Quickstart Examples#
Flower Quickstart Examples are a collection of demo projects that show how you can use Flower in combination with other existing frameworks or technologies.
Title |
Framework |
Dataset |
Tags |
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Synthetic |
quickstart, linear regression, tabular |
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quickstart, vision |
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quickstart, llm, nlp, sentiment |
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Synthetic |
quickstart, linear regression |
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quickstart, vision, deployment |
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quickstart, vision |
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quickstart, medical, vision |
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quickstart, tabular, federated analytics |
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quickstart, vision, fds |
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quickstart, vision, fds |
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quickstart, tabular, fds |
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quickstart, tabular |
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quickstart, vision, fds |
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quickstart, classification, tabular |
Advanced Examples#
Advanced Examples are mostly for users that are both familiar with Federated Learning but also somewhat familiar with Flower’s main features.
Title |
Framework |
Dataset |
Tags |
---|---|---|---|
advanced, vision, fds |
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advanced, vision, fds |
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advanced, vision, fds |
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vertical, tabular, advanced |
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advanced, classification, tabular |
Other Examples#
Flower Examples are a collection of example projects written with Flower that explore different domains and features. You can check which examples already exist and/or contribute your own example.
Title |
Framework |
Dataset |
Tags |
---|---|---|---|
mobile, vision, sdk |
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Flower Android Client Example with Kotlin and TensorFlow Lite 2022 |
mobile, vision, sdk |
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basic, vision, fds |
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basic, vision, fds |
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basic, vision, fds |
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mods, monitoring, app |
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basic, vision, fds |
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estimator, medical |
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basic, vision, fds |
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basic, tabular, fds |
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colab, vision, simulation |
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basic, vision, simulation |
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Leveraging Flower and Docker for Device Heterogeneity Management in Federated Learning |
deployment, vision, tutorial |
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mobile, vision, sdk |
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llm, nlp, LLama2 |
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Training with Sample-Level Differential Privacy using Opacus Privacy Engine |
dp, security, fds |
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Flower Example for Federated Variational Autoencoder using Pytorch |
basic, vision, fds |
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basic, vision, fds |
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basic, vision, fds, simulation |
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basic, vision, fds, simulation |
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basic, vision, logistic regression, fds |
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Training with Sample-Level Differential Privacy using TensorFlow-Privacy Engine |
basic, vision, fds, privacy, dp |
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finetuneing, vision, fds |
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finetuning, speech, transformers |