๐Ÿ’ŽIntroduction

LazAIโ€™s Quorum-Based BFT (QBFT) consensus is a modular and scalable consensus protocol optimized for AI-centric decentralized systems. It blends practical Byzantine Fault Tolerance (pBFT) with a Quorum-based voting mechanism to ensure efficient validation, integrity, and liveness in a multi-agent AI data network.

Key Entities

Component

Role

Quorum

A logical group of validators (iDAO members) responsible for data validation.

Proposer

A rotating member of the quorum responsible for proposing the next block/data state.

Validator

iDAO participant who verifies, signs, and votes on proposed blocks.

Challenger

External party capable of submitting fraud proofs or challenges.

Design Principles

  • AI Data-Aware Consensus: Handles metadata-rich, non-deterministic AI data (e.g., dataset hashes, ZK proofs, computation logs).

  • Quorum-Based Delegation: Only assigned quorums participate in consensus, improving scalability.

  • Dynamic Quorum Rotation: Quorum members are periodically re-elected or rotated for decentralization.

  • Hybrid Validity Layer: Supports ZK-SNARK/TEE proofs and Optimistic Proofs (OP) as validity inputs.

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