Falcon Protocol Achieves Low Latency Asynchronous Byzantine Consensus
A novel BFT protocol, Falcon, uses Graded Broadcast to bypass costly agreement stages, fundamentally improving decentralized system throughput and latency.
Epidemic Consensus Protocol Unlocks Leaderless Decentralization and Extreme Blockchain Scale
A new leaderless epidemic consensus protocol resolves the scalability-decentralization tradeoff, leveraging probabilistic convergence for massive network throughput.
Set Byzantine Consensus Decouples Ordering to Decentralize Rollup Arrangers
The decentralized arranger uses Set Byzantine Consensus to agree on transaction sets, eliminating single-point-of-failure in L2 sequencing.
Game Theory Secures Verifiable Secret Sharing against Rational Collusion
A new mechanism design framework embeds a parameterized payment rule into Verifiable Secret Sharing, strategically disincentivizing rational collusion for enhanced decentralized security.
Leaderless Epidemic Consensus Protocol Enables Scalable Low-Overhead Decentralized Networks
BECP introduces epidemic dissemination with local data aggregation, enabling leaderless, low-overhead consensus that scales independently of network size.
Achieving Instantaneous Blockchain Finality by Resolving the Availability-Finality Dilemma
This protocol merges a dynamically available chain with a partially synchronous finality gadget to achieve single-slot finality, eliminating chain reorgs and MEV risks.
Eliminating Global Ordering Unlocks Scalable, Low-Latency Multi-BFT Consensus
A new Multi-BFT framework removes the global ordering bottleneck via concurrent execution, dramatically reducing latency for scalable decentralized systems.
Zero-Knowledge Proof of Training Secures Private Consensus
This new ZKPoT consensus mechanism cryptographically validates model contributions without revealing private data, solving the privacy-efficiency trilemma for decentralized AI.
Unifying Sequencing and Data Availability with Decentralized Set Byzantine Consensus
A new Decentralized Arranger model unifies rollup sequencing and data availability using Set Byzantine Consensus, resolving centralization risk.
