Pearl Protocol Development Roadmap

Our journey to build the world's most advanced federated learning platform. Track our progress and see what's coming next.

Overall Progress2/9 completed
22%Complete
Completed
In Progress
Planned
Future

Core Federated Learning Platform

Q3 2024

Foundation infrastructure for privacy-preserving collaborative ML training

Key Features:

Solana-based smart contracts for model governance
Privacy budget management with epsilon-differential privacy
Real-time training coordination and aggregation
IPFS integration for model weights distribution
CLI tool for developer workflow
High Priority

Web Dashboard & Interface

Q4 2024

Comprehensive web platform for model management and monitoring

Key Features:

Real-time training progress visualization
Model marketplace and discovery
Participant management and leaderboards
Rewards tracking and claims interface
Multi-wallet integration
High Priority

Advanced Privacy Features

Q1 2025

Enhanced privacy guarantees and zero-knowledge proofs

Key Features:

Zero-knowledge proof verification
Homomorphic encryption for model updates
Secure multi-party computation (SMPC)
Advanced differential privacy mechanisms
Privacy audit trail and compliance reporting
High Priority

Enhanced Developer Experience

Q1 2025

Advanced tooling and SDKs for easier integration

Key Features:

Python SDK with popular ML framework support
JavaScript/TypeScript SDK for web integration
Docker containers for easy deployment
CI/CD integration plugins
Local development simulator
Medium Priority

Scaling & Performance Optimization

Q2 2025

Infrastructure improvements for large-scale deployments

Key Features:

Hierarchical federated learning
Dynamic participant selection algorithms
Network topology optimization
Bandwidth-efficient compression
Edge computing integration
High Priority

Decentralized Governance (DAO)

Q2 2025

Community-driven platform governance and decision making

Key Features:

On-chain governance voting
Proposal submission and review process
Token-based voting weight
Community treasury management
Protocol upgrade mechanisms
Medium Priority

ML Model Marketplace

Q3 2025

Decentralized marketplace for trained models and datasets

Key Features:

Model licensing and monetization
Automated model quality assessment
Dataset contribution rewards
Model versioning and lineage tracking
Inference-as-a-Service platform
Medium Priority

Cross-Chain Interoperability

Q4 2025

Multi-blockchain support for broader ecosystem integration

Key Features:

Ethereum and Polygon integration
Cross-chain asset bridges
Multi-chain model deployment
Universal identity management
Interoperable privacy standards
Low Priority

Advanced AI Research Integration

2026+

Cutting-edge research features and experimental protocols

Key Features:

Federated reinforcement learning
Neural architecture search (NAS)
Automated hyperparameter optimization
Meta-learning and few-shot adaptation
Quantum-resistant cryptography
Low Priority

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