SoraEngine

SoraEngine is a cutting-edge framework designed to enable privacy-preserving machine learning while ensuring interoperability with existing AI ecosystems. It provides a secure, decentralized infrastructure where various participants collaborate to train, validate, and deploy machine learning models without compromising data privacy.

Key Participants in SoraEngine

SoraEngine operates through different node types, each with a specific role in the federated learning and blockchain-driven AI ecosystem.

1. Aggregator Node

• Responsible for collecting, aggregating, and updating model parameters.

2. Trainer Node

• Handles local model training on data that remains private.

3. Validator Node

• Ensures the integrity and accuracy of trained models before updates are aggregated.

4. Task Creator / Admin

• Initiates machine learning tasks by defining training objectives and model parameters.

5. Delegators

• Delegate tokens to training +nodes and validators, increasing reward distribution.

*Currently all tasks creation and Admin participant is handled internally.

The SoraEngine dev package is published on python test network to use it. https://test.pypi.org/project/SoraEngine-dev/

SoraEngine-devPyPI

SoraEngine SDK: Universal ML Framework Compatibility

SoraEngine's SDK is built to be framework-agnostic, meaning it supports all existing machine learning libraries, including:

• Deep Learning Frameworks: TensorFlow, PyTorch, JAX, MXNet

• Traditional ML: Scikit-learn, XGBoost, LightGBM

• Differential Privacy & Secure Computation: OpenMined PySyft, TenSEAL

• AI Deployment: ONNX, TensorRT

Seamless Integration with Existing Applications

SoraEngine is designed to be plug-and-play, allowing any application to leverage privacy-preserving AI without modifying its existing infrastructure.

• APIs & SDKs: Provides APIs to integrate privacy-preserving ML into web, mobile, and enterprise applications.

• Interoperability: Supports cross-chain AI deployments and works with various blockchain ecosystems.

• Scalability: Enables large-scale AI training without centralized data collection.

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Key Benefits of SoraEngine

✅ Privacy-Preserving AI: No raw data exposure; only encrypted updates are shared. ✅ Decentralized Training: Federated learning with blockchain ensures trust and security. ✅ Framework-Agnostic: Works with all major ML libraries without requiring modifications. ✅ Incentivized Participation: Staking mechanisms and AI model revenue-sharing options. ✅ Seamless Integration: Allows existing applications to leverage privacy-preserving AI effortlessly.

SoraEngine represents the future of trustworthy AI, enabling organizations to collaborate securely while protecting data ownership. 🚀