Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Teradata VantageCloud Reviews & Ratings
    975 Ratings
    Company Website
  • Vertex AI Reviews & Ratings
    727 Ratings
    Company Website
  • Amazon Bedrock Reviews & Ratings
    77 Ratings
    Company Website
  • Carbide Reviews & Ratings
    88 Ratings
    Company Website
  • Splunk Enterprise Reviews & Ratings
    1,429 Ratings
    Company Website
  • PYPROXY Reviews & Ratings
    9 Ratings
    Company Website
  • RunPod Reviews & Ratings
    167 Ratings
    Company Website
  • MongoDB Atlas Reviews & Ratings
    1,640 Ratings
    Company Website
  • Skillcast Reviews & Ratings
    1,105 Ratings
    Company Website
  • Source Defense Reviews & Ratings
    7 Ratings
    Company Website

What is Flower?

Flower is an open-source federated learning framework designed to simplify the development and application of machine learning models across diverse data sources. By allowing the training of models directly on data housed in individual devices or servers, it enhances privacy and reduces bandwidth usage significantly. The framework supports a wide range of well-known machine learning libraries, including PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and XGBoost, and it integrates smoothly with various cloud services like AWS, GCP, and Azure. Flower is highly adaptable, featuring customizable strategies and supporting both horizontal and vertical federated learning setups. Its architecture prioritizes scalability, effectively managing experiments that can involve tens of millions of clients. Furthermore, Flower includes privacy-preserving mechanisms, such as differential privacy and secure aggregation, ensuring the protection of sensitive information throughout the learning process. This comprehensive approach not only makes Flower an excellent option for organizations aiming to adopt federated learning but also positions it as a leader in driving innovation in the field of decentralized machine learning solutions. The framework's commitment to flexibility and security underscores its potential to meet the evolving needs of the data-centric world.

What is Findora?

Create financial systems that emphasize privacy without sacrificing transparency. Findora enables the management of multiple asset classes, such as dollars, bitcoin, stocks, debts, and derivatives. The platform aims to address the challenges of supporting a diverse range of assets and financial services while ensuring confidentiality and the transparency that is often found in other blockchain systems. By leveraging cutting-edge methods like zero-knowledge proofs and secure multi-party computation, Findora incorporates a variety of features designed to enhance privacy. Its unique zero-knowledge proofs allow for public auditing of the system while keeping sensitive information secure. In addition, Findora features a high-capacity ledger design that reduces storage requirements through cryptographic accumulators. The platform effectively breaks down data silos and promotes smooth interoperability between primary and secondary ledgers. Moreover, Findora provides developers with vital resources, comprehensive documentation, and dedicated support to aid in application development. Engaging with the Findora testnet allows developers to begin crafting privacy-centric applications immediately, fostering the emergence of groundbreaking financial innovations that could reshape the industry. By doing so, Findora positions itself as a leader in the integration of privacy and transparency within the financial landscape.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Android
Apple iOS
Bitget Wallet
Blockchain.com
Conflux
Google Cloud Platform
Hugging Face
Keras
MXNet
Microsoft Azure
Modern Leadership (MLX)
NVIDIA Jetson
NumPy
PyTorch
Python
Raspberry Pi OS
TensorFlow
pandas
scikit-learn

Integrations Supported

Amazon Web Services (AWS)
Android
Apple iOS
Bitget Wallet
Blockchain.com
Conflux
Google Cloud Platform
Hugging Face
Keras
MXNet
Microsoft Azure
Modern Leadership (MLX)
NVIDIA Jetson
NumPy
PyTorch
Python
Raspberry Pi OS
TensorFlow
pandas
scikit-learn

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Flower

Date Founded

2023

Company Location

Germany

Company Website

flower.ai/

Company Facts

Organization Name

Findora

Date Founded

2017

Company Website

findora.org

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Categories and Features

Popular Alternatives

Popular Alternatives

Keepsake Reviews & Ratings

Keepsake

Replicate
IAP Network Reviews & Ratings

IAP Network

Information Assurance Platform