💎Introduction

LazAI’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.