Validated Strong BFT Consensus Unlocks Scalable Asynchronous State Machine Replication
A novel Validated Strong BFT model permits leader-based coordination in asynchronous networks, dramatically reducing message complexity for scalable SMR.
Linear-Complexity Secret Sharing Unlocks Scalable Decentralized Randomness Beacons
A novel Publicly Verifiable Secret Sharing scheme reduces complexity to O(n), enabling highly scalable, unbiasable randomness for large-scale consensus.
Optimal Byzantine Agreement Protocol Minimizes Communication Complexity Adaptively
New authenticated Byzantine agreement protocol achieves optimal O(ft+t) communication complexity by adapting to the actual number of failures, significantly boosting SMR efficiency.
Optimistic Byzantine Agreement Achieves Linear Communication Complexity for Scalability
This optimistic consensus design fundamentally challenges the quadratic communication lower bound, enabling optimal scalability for distributed state machine replication.
Constraint-Reduced Circuits Achieve Orders of Magnitude Faster Zero-Knowledge Proving
New Constraint-Reduced Polynomial Circuits (CRPC) primitives cut ZKP complexity from cubic to linear, unlocking practical verifiable AI and ZK-EVMs.
Rondo Protocol Achieves Optimal Linear Complexity for Decentralized Randomness Beacon Sharing
Rondo introduces batched asynchronous verifiable secret sharing with partial output, cutting message complexity to linear for scalable, reconfigurable randomness beacons.
Optimal Linear-Time ZK Proofs Unlock Mass Verifiable Computation
Achieving optimal linear prover time for zero-knowledge proofs fundamentally solves the scalability bottleneck for verifiable computation and ZK-Rollups.
TEEs Enhance DAG Consensus for Scalable, Censorship-Resistant Blockchains
A novel DAG-based consensus protocol leverages Trusted Execution Environments to significantly improve scalability, reduce communication overhead, and ensure censorship resistance.
