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About

DecideAI is a decentralized AI ecosystem built around three core components that offer a framework for privacy-preserving data sharing, annotation, model training, and continuous improvement using techniques like RLHF and DPO. Decide ID is a zero-knowledge proof-based identity system that verifies contributors’ authenticity and reputation while preserving privacy through techniques like 3D face scans and liveness checks. Decide Cortex provides access to specialized, high-quality LLMs and curated datasets generated through the protocol, enabling clients and developers to adopt or tailor models without starting from scratch. The platform is designed to support secure, verifiable contributions of proprietary or domain-specific data, incentivize long-term participation via its native DCD token, and reduce reliance on large centralized AI providers by enabling on-chain or hybrid model hosting.

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.

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

AI developers, organizations, and data contributors looking for a tool to build or access specialized LLMs using privacy-preserving data contributions and decentralized model governance

Audience

Machine learning practitioners and researchers in search of a tool to implement privacy-preserving, decentralized model training across diverse devices and platforms

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

No information available.
Free Version
Free Trial

Pricing

Free
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

Decide AI
Founded: 2021
United States
decideai.xyz/

Company Information

Flower
Founded: 2023
Germany
flower.ai/

Alternatives

Alternatives

Keepsake

Keepsake

Replicate
Twine AI

Twine AI

Twine.net

Categories

Categories

Integrations

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

Integrations

Amazon Web Services (AWS)
Android
Apple iOS
Docker
Google Cloud Platform
Hardskills
Hugging Face
JAX
Keras
MXNet
Microsoft Azure
NVIDIA Jetson
NumPy
PyTorch
Python
Raspberry Pi OS
TensorFlow
pandas
scikit-learn
Claim Decide AI and update features and information
Claim Decide AI and update features and information
Claim Flower and update features and information
Claim Flower and update features and information