Protected Order Flow Re-Aligns Validator Incentives for MEV-resistant Transaction Integrity
Protected Order Flow (PROF) enforces transaction sequencing via incentive-compatible bundles, mitigating MEV by making fairness profitable.
Epidemic Consensus Protocol Scales Blockchains by Eliminating Fixed Leaders
The Blockchain Epidemic Consensus Protocol (BECP) achieves probabilistic convergence without leaders, fundamentally unlocking massive-scale decentralized network architecture.
DAG-Based BFT Protocol Achieves Optimal Latency without Common Primitives
This novel DAG-based BFT protocol achieves optimal three-round latency by eliminating reliable broadcast and common coin primitives, paving the way for hyper-efficient decentralized systems.
Deterministic Bounds Secure Committee Selection Replacing Probabilistic Guarantees
New sortition algorithms introduce deterministic security bounds, fundamentally enabling smaller, faster consensus committees without sacrificing decentralization.
Asynchronous Partial Vector Agreement Enables Constant-Round Error-Free Byzantine Consensus
Introducing Asynchronous Partial Vector Agreement, a new primitive that enables information-theoretically secure Byzantine consensus with optimal constant-time round complexity.
ZKPoT: Private Consensus Verifies Decentralized Machine Learning
ZKPoT consensus leverages zk-SNARKs to cryptographically verify machine learning model contributions without revealing private training data or parameters.
Quantum-Enhanced Consensus Mechanism Fortifies Consortium Blockchains against Quantum Threats
Q-PnV integrates quantum technology with classical consensus to deliver quantum-secure, high-performance, and fair consortium blockchain architecture.
Decentralized Arrangers Unify Sequencing and Data Availability via Set Consensus
An extension of Set Byzantine Consensus creates a decentralized arranger service, formally eliminating L2 sequencer centralization risk and ensuring data integrity.
Batch Zero-Knowledge BFT Achieves Scalable Private Federated Learning Consensus
Batch Zero-Knowledge Proofs are integrated into BFT consensus, cutting communication complexity to $O(n)$ and enabling scalable, private decentralized AI.
