Building the future of AI where data stays yours and intelligence is shared
DIN is a fully peer-to-peer decentralized Federated Learning protocol for EVM-compatible blockchains. We enable secure AI collaboration, privacy-first agent training, and data monetization—all without centralized gatekeepers or data silos.
🏆 Grant Recipient: Cosmos Institute | Austin, Texas & University of Oxford
Traditional AI relies on centralized data, creating privacy risks and data monopolies. DIN changes that with:
- 🔐 Data Sovereignty: Your data stays under your control — private and compliant.
- 🤖 Open AI Development: Train AI agents anywhere, no centralized infrastructure.
- 💰 Fair Rewards: Earn stablecoins by contributing data on your terms.
- Keep Your Data Local - Raw data never leaves your device
- Share Model Updates - Only encrypted learning updates are transmitted
- Earn Rewards - Receive stablecoin payments for contributions
- Access Premium Services - Use earnings for advanced AI agent features
- Deploy Federated Learning - Train models across distributed data
- Leverage Decentralized Compute - No need for centralized servers
- Build Open Agents - Create autonomous AI with built-in privacy
- Scale Globally - Access diverse datasets without data movement
- Validator Network: Secured by Proof of Stake consensus
- Eigenlayer Integration: Bootstraps security using Ethereum's restaking infrastructure
- Chain Agnostic: Deploy across any Ethereum L2, rollup, or sidechain
- Stablecoin Transactions: Predictable costs, no speculation
- High-Frequency Rewards: Transparent, trustless compensation
- Circular Economy: Earn by contributing, spend on premium services
- Federated Learning: Train AI without exposing raw data
- Cryptographic Proofs: Verify contributions without revealing data
- Self-Sovereign Architecture: No central authority controls your information
| Feature | Benefit |
|---|---|
| Self-Sovereign Data | Retain full control while enabling AI training |
| Open Agentic AI | Train autonomous agents in privacy-preserving networks |
| Trustless Incentives | Earn stablecoins transparently without intermediaries |
| Ethereum Compatibility | Deploy across the entire Ethereum ecosystem |
| Validator Bootstrapping | Inherit Ethereum's security from day one |
DIN operates as a truly decentralized protocol — no single entity controls the network. Like Ethereum and EigenLayer, DIN maintains credible neutrality, sustained by a global community and secured by decentralized validators.
The DIN Foundation, a non-profit entity, supports the protocol’s long-term evolution through open governance, funding public goods, and promoting self-sovereign AI ecosystems.
- 🎓 Featured: Berkeley RDI Summit on Responsible Decentralized Intelligence
- 🎓 Discussed: Oxford CS Department - Future of Decentralized AI
- 📘 White Paper: Read the full technical specification
- 📋 Protocol Proposals: DIN-Protocol-Proposals-DPP
Ready to help build the future of decentralized AI?
- 🔧 Contribute Code: Shape the protocol's development
- 💡 Submit Proposals: Influence protocol evolution
- 🧪 Build Applications: Create the next generation of AI agents
- 📊 Collaborate: Work with our academic partners
- 📝 Publish: Contribute to decentralized AI research
- 🎯 Experiment: Test novel federated learning approaches
- 💾 Share Securely: Monetize your data while maintaining privacy
- 🏆 Earn Rewards: Get compensated fairly for your contributions
- 🌱 Support Innovation: Help train the next generation of AI
- 📧 Email: [email protected]
- 🌐 Website: decentralizedintelligencenetwork.github.io
- 📋 Contribute: Contribution Guidelines
Decentralizing AI • Enabling Self-Sovereign Data • Fostering Trustless Innovation
Building tomorrow's AI infrastructure today
