Related Products
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About
Flolya is cloud-based business management software for event florists and floral designers. It organizes wedding and corporate-event work from an initial inquiry through proposal, production and invoicing. Florists can manage a catalog of flowers and supplies, build recipes that account for material costs and labor, prepare online proposals for clients to review and sign, and track signed changes. The software also supports event-based purchasing lists, production planning, and tracking deposits, payments and invoices. A beta subscription module is designed to manage recurring flower deliveries for business and individual customers. Flolya is offered through event and studio plans, with monthly and annual billing options.
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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.
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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
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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
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Audience
Event florists, wedding florists, floral designers and flower shops.
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Audience
Machine learning practitioners and researchers in search of a tool to implement privacy-preserving, decentralized model training across diverse devices and platforms
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
€119.20/year
Events Pass costs €119.20 for the first year, billed annually, then renews at €149/year. It includes one member and up to 15 signed events per year. Studio costs €39.99/month for the first seven months, then €49.99/month, or €399.92 for the first year, billed annually, then renews at €499.90/year. It includes up to five members and unlimited signed events. Both plans include the same features. A 30-day free trial is available with no credit card required.
Free Version
Not Supported
Free Trial
Supported
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
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Company InformationFlolya
France
flolya.com
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Company InformationFlower
Founded: 2023
Germany
flower.ai/
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Amazon Web Services (AWS)
Not Supported
Android
Not Supported
Apple iOS
Not Supported
Docker
Not Supported
Google Cloud Platform
Not Supported
Hardskills
Not Supported
Hugging Face
Not Supported
JAX
Not Supported
Keras
Not Supported
MXNet
Not Supported
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Integrations
Amazon Web Services (AWS)
Supported
Android
Supported
Apple iOS
Supported
Docker
Supported
Google Cloud Platform
Supported
Hardskills
Supported
Hugging Face
Supported
JAX
Supported
Keras
Supported
MXNet
Supported
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