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Average Ratings 0 Ratings

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features
design
support

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Write a Review

Description

Flower is a federated learning framework that is open-source and aims to make the creation and implementation of machine learning models across distributed data sources more straightforward. By enabling the training of models on data stored on individual devices or servers without the need to transfer that data, it significantly boosts privacy and minimizes bandwidth consumption. The framework is compatible with an array of popular machine learning libraries such as PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and XGBoost, and it works seamlessly with various cloud platforms including AWS, GCP, and Azure. Flower offers a high degree of flexibility with its customizable strategies and accommodates both horizontal and vertical federated learning configurations. Its architecture is designed for scalability, capable of managing experiments that involve tens of millions of clients effectively. Additionally, Flower incorporates features geared towards privacy preservation, such as differential privacy and secure aggregation, ensuring that sensitive data remains protected throughout the learning process. This comprehensive approach makes Flower a robust choice for organizations looking to leverage federated learning in their machine learning initiatives.

Description

Fusion transforms siloed data into unique insights for each user. Lucidworks Fusion allows customers to easily deploy AI-powered search and data discovery applications in a modern, containerized cloud-native architecture. Data scientists can interact with these applications by using existing machine learning models. They can also quickly create and deploy new models with popular tools such as Python ML and TensorFlow. It is easier and less risk to manage Fusion cloud deployments. Lucidworks has modernized Fusion using a cloud-native microservices architecture orchestrated and managed by Kubernetes. Fusion allows customers to dynamically manage their application resources according to usage ebbs, flows, and reduce the effort of deploying Fusion and upgrading it. Fusion also helps avoid unscheduled downtime or performance degradation. Fusion supports Python machine learning models natively. Fusion can integrate your custom ML models.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
Android Yes 
Apple iOS Yes 
Canopy No 
Docker Yes 
FindTuner No 
Google Cloud Discovery AI No 
Google Cloud Platform Yes 
Hardskills Yes 
Hugging Face Yes 
JAX Yes 
Keras Yes 
MXNet Yes 
Microsoft Azure Yes 
NVIDIA Jetson Yes 
NumPy Yes 
PyTorch Yes 
Python Yes 
TensorFlow Yes 
scikit-learn Yes 

Integrations

Amazon Web Services (AWS) No 
Android No 
Apple iOS No 
Canopy Yes 
Docker No 
FindTuner Yes 
Google Cloud Discovery AI Yes 
Google Cloud Platform No 
Hardskills No 
Hugging Face No 
JAX No 
Keras No 
MXNet No 
Microsoft Azure No 
NVIDIA Jetson No 
NumPy No 
PyTorch No 
Python No 
TensorFlow No 
scikit-learn No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Flower

Founded

2023

Country

Germany

Website

flower.ai/

Vendor Details

Company Name

Lucidworks

Founded

2007

Country

United States

Website

lucidworks.com

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Product Features

eCommerce Personalization

A/B Testing No 
Abandoned Cart Email No 
Dynamic Pricing No 
Offers & Discounts Notifications No 
Personalized Site Navigation No 
Product Recommendations No 
Reporting / Analytics No 
Social Insights No 

Enterprise Search

AI / Machine Learning Yes 
Faceted Search / Filtering No 
Full Text Search Yes 
Fuzzy Search No 
Indexing Yes 
Text Analytics No 
eDiscovery No 

Insight Engines

AI / Machine Learning No 
Augmented Analytics No 
Data Aggregation No 
Data Classification No 
Data Extraction No 
Data Source Connectors No 
Full Text Search No 
Intent Recognition No 
Multiple Data Sources No 
Search / Filter No 
Sentiment Analysis No 

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