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.
Angelfish Consensus Unifies Leader-DAG BFT for Optimal Throughput and Latency
The Angelfish hybrid consensus protocol dynamically integrates leader-based and DAG architectures, resolving the core BFT throughput-latency trade-off.
Proof of Quantum Work Achieves Quantum-Safe, Energy-Efficient Blockchain Architecture
Proof of Quantum Work leverages quantum supremacy to secure the ledger, solving classical PoW's energy crisis and quantum-proofing the consensus layer.
Coding Techniques Achieve Near-Optimal Synchronous BFT Communication Complexity
The Hamster protocol uses coding techniques to reduce Byzantine Fault Tolerance communication to near-optimal O(mn), unlocking linear throughput scaling.
Verifiable Training Proofs Secure Decentralized AI Consensus
The Zero-Knowledge Proof of Training (ZKPoT) mechanism leverages zk-SNARKs to create a consensus primitive that validates collaborative AI model updates with cryptographic privacy.
Epidemic Consensus Protocol Unlocks Extreme-Scale, Leaderless Blockchain Decentralization
The Blockchain Epidemic Consensus Protocol (BECP) re-engineers distributed agreement using probabilistic message dissemination, enabling extreme-scale, leaderless network security.
