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 handles by SoraChain team.
The SoraEngine dev package is published on python test network to use it.
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.
Key Benefits of SoraEngine
ā Privacy-Preserving AI: No raw data exposure; only encrypted updates are shared. ā Decentralized Training: Federated learning with blockchain ensures trust and security. ā Framework-Agnostic: Works with all major ML libraries without requiring modifications. ā Incentivized Participation: Staking mechanisms and AI model revenue-sharing options. ā 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. š
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