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About

Flower is an open source federated learning framework designed to simplify the development and deployment of machine learning models across decentralized data sources. It enables training on data located on devices or servers without transferring the data itself, thereby enhancing privacy and reducing bandwidth usage. Flower supports a wide range of machine learning frameworks, including PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and XGBoost, and is compatible with various platforms and cloud services like AWS, GCP, and Azure. It offers flexibility through customizable strategies and supports both horizontal and vertical federated learning scenarios. Flower's architecture allows for scalable experiments, with the capability to handle workloads involving tens of millions of clients. It also provides built-in support for privacy-preserving techniques like differential privacy and secure aggregation.

About

Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Scalable distributed training and performance optimization in research and production is enabled by the torch-distributed backend. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. Preview is available if you want the latest, not fully tested and supported, 1.10 builds that are generated nightly. Please ensure that you have met the prerequisites (e.g., numpy), depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Machine learning practitioners and researchers in search of a tool to implement privacy-preserving, decentralized model training across diverse devices and platforms

Audience

Researchers in need of an open source machine learning solution to accelerate research prototyping and production deployment

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Flower
Founded: 2023
Germany
flower.ai/

Company Information

PyTorch
Founded: 2016
pytorch.org

Alternatives

Alternatives

Keepsake

Keepsake

Replicate
Core ML

Core ML

Apple
Create ML

Create ML

Apple
DeepSpeed

DeepSpeed

Microsoft
AWS Neuron

AWS Neuron

Amazon Web Services

Categories

Categories

Integrations

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
AWS Elastic Fabric Adapter (EFA)
AWS Marketplace
Amazon EC2 Trn2 Instances
Amazon SageMaker Studio Lab
BentoML
Daft
Database Mart
HStreamDB
Hugging Face Transformers
IBM Distributed AI APIs
Superwise
SynapseAI
TensorFlow
Voyager SDK
Yandex DataSphere
Zilliz Cloud

Integrations

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
AWS Elastic Fabric Adapter (EFA)
AWS Marketplace
Amazon EC2 Trn2 Instances
Amazon SageMaker Studio Lab
BentoML
Daft
Database Mart
HStreamDB
Hugging Face Transformers
IBM Distributed AI APIs
Superwise
SynapseAI
TensorFlow
Voyager SDK
Yandex DataSphere
Zilliz Cloud
Claim Flower and update features and information
Claim Flower and update features and information
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Claim PyTorch and update features and information