+
+

Related Products

  • Amazon Bedrock
    77 Ratings
    Visit Website
  • Teradata VantageCloud
    975 Ratings
    Visit Website
  • Carbide
    88 Ratings
    Visit Website
  • Vertex AI
    727 Ratings
    Visit Website
  • PYPROXY
    9 Ratings
    Visit Website
  • SureSync
    13 Ratings
    Visit Website
  • RunPod
    167 Ratings
    Visit Website
  • Bitrise
    383 Ratings
    Visit Website
  • Greenhouse
    4,630 Ratings
    Visit Website
  • eLabNext
    288 Ratings
    Visit Website

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

Conventional CPUs can no longer cope with the increased demand for computing power. GPU processors exceed the data processing speed of conventional CPUs by 100-200 times. We provide servers that are specifically designed for machine learning and deep learning purposes and are equipped with distinctive features. Modern hardware based on the NVIDIA® GPU chipset, which has a high operation speed. The newest Tesla® V100 cards with their high processing power. Optimized for deep learning software, TensorFlow™, Caffe2, Torch, Theano, CNTK, MXNet™. Includes development tools based on the programming languages ​​Python 2, Python 3, and C++. We do not charge fees for every extra service. This means disk space and traffic are already included in the cost of the basic services package. In addition, our servers can be used for various tasks of video processing, rendering, etc. LeaderGPU® customers can now use a graphical interface via RDP out of the box.

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

Anyone wanting a solution providing servers with a GPU for deep machine learning

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

€0.14 per minute
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

LeaderGPU
Netherlands
www.leadergpu.com

Alternatives

Alternatives

Keepsake

Keepsake

Replicate

Categories

Categories

Integrations

MXNet
Python
TensorFlow
Amazon Web Services (AWS)
Android
Apple iOS
Docker
Google Cloud Platform
Hugging Face
JAX
Keras
Microsoft Azure
Modern Leadership (MLX)
NVIDIA DRIVE
NVIDIA Jetson
PyTorch
Raspberry Pi OS
Torch
pandas
scikit-learn

Integrations

MXNet
Python
TensorFlow
Amazon Web Services (AWS)
Android
Apple iOS
Docker
Google Cloud Platform
Hugging Face
JAX
Keras
Microsoft Azure
Modern Leadership (MLX)
NVIDIA DRIVE
NVIDIA Jetson
PyTorch
Raspberry Pi OS
Torch
pandas
scikit-learn
Claim Flower and update features and information
Claim Flower and update features and information
Claim LeaderGPU and update features and information
Claim LeaderGPU and update features and information