Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Establish financial infrastructures that prioritize privacy while maintaining transparency. Findora facilitates the management of various asset types, including dollars, bitcoin, equities, debts, and derivatives. The platform's objective is to tackle the complexities involved in catering to a wide array of assets and financial applications, ensuring confidentiality alongside the transparency typically associated with other blockchains. Utilizing advanced techniques such as zero-knowledge proofs and secure multi-party computation, Findora implements numerous privacy-enhancing features. Its specialized zero-knowledge proofs ensure that while the system can be audited publicly, sensitive data remains protected. Additionally, Findora boasts a high-throughput ledger architecture and minimizes storage needs through the use of cryptographic accumulators. The platform effectively dismantles data silos, facilitating seamless interoperability between main and side ledgers. Furthermore, Findora equips developers with essential tools, thorough documentation, and dedicated support for building their applications. By engaging with the Findora testnet, developers can start creating privacy-focused applications today, paving the way for innovative financial solutions.
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.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
No
Android
No
Apple iOS
No
Bitget Wallet
Yes
Blockchain.com
Yes
Conflux
Yes
Docker
No
Google Cloud Platform
No
Hardskills
No
Hugging Face
No
Integrations
Amazon Web Services (AWS)
Yes
Android
Yes
Apple iOS
Yes
Bitget Wallet
No
Blockchain.com
No
Conflux
No
Docker
Yes
Google Cloud Platform
Yes
Hardskills
Yes
Hugging Face
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
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
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Findora
Founded
2017
Website
findora.org
Vendor Details
Company Name
Flower
Founded
2023
Country
Germany
Website
flower.ai/
Product Features
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