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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

Flower Store In a Box is an eCommerce website solution for selling flowers online, specifically designed for florists to extend your business from bricks to clicks. Designed and constantly improved over the last 15 years, we are the world leaders in online floristry with customers across Australia, the USA and Europe. In that time we have helped our customers turn over in excess of $100 Million Dollars Online. Flower Store in a Box is a website software solution built for florists to sell flowers online with all the features a fully-fledged florist website expects. Built with easy-to-use in-built marketing tools to help attract customers to your website and then influence them to buy when on the website! Fully compliant with all the major SEO technical requirements & SEO Tools, making it easier for you to add your own content and get to the top of the rankings.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

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

Audience

eCommerce businesses and florists seeking a website solution for selling flowers online

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

$2995.00/one-time
Free Version Not Supported
Free Trial Not Supported

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 Supported
Webinars Supported
Live Online Not Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

Flower
Founded: 2023
Germany
flower.ai/

Company Information

Enflexion
Australia
www.flowerstoreinabox.com.au

Alternatives

Alternatives

Keepsake

Keepsake

Replicate
FlowerManager

FlowerManager

GravityFree Studios

Categories

Categories

Florist Supported

Florist Features

Automated Card Printing Supported
Customer Account Profiles Supported
Delivery Tracking Supported
Order Management Supported
Production Tracking Supported
Stem Counting Not Supported

Integrations

Amazon Web Services (AWS) Supported
Android Supported
Apple iOS Supported
Docker Supported
Floral Frog Not Supported
Google Cloud Platform Supported
Hardskills Supported
Hugging Face Supported
JAX Supported
Keras Supported
MXNet Supported
Microsoft Azure Supported
NVIDIA Jetson Supported
NumPy Supported
PyTorch Supported
Python Supported
Raspberry Pi OS Supported
TensorFlow Supported
pandas Supported
scikit-learn Supported

Integrations

Amazon Web Services (AWS) Not Supported
Android Not Supported
Apple iOS Not Supported
Docker Not Supported
Floral Frog Supported
Google Cloud Platform Not Supported
Hardskills Not Supported
Hugging Face Not Supported
JAX Not Supported
Keras Not Supported
MXNet Not Supported
Microsoft Azure Not Supported
NVIDIA Jetson Not Supported
NumPy Not Supported
PyTorch Not Supported
Python Not Supported
Raspberry Pi OS Not Supported
TensorFlow Not Supported
pandas Not Supported
scikit-learn Not Supported
Claim Flower and update features and information
Claim Flower and update features and information
Claim Flower Store In a Box and update features and information
Claim Flower Store In a Box and update features and information