Aztec Launches Ignition Chain as First Fully Decentralized Private Ethereum Layer Two
The ZK-powered Ignition Chain introduces end-to-end programmable privacy, transforming DeFi's application layer from a transparent ledger to a confidential financial system.
ZKPoT Consensus Secures Federated Learning by Verifying Model Performance Privately
ZKPoT consensus leverages zk-SNARKs to prove model performance without revealing data, creating a privacy-preserving, performance-based leader election mechanism.
Formalizing Subjective Trust Assumptions for Resilient Decentralized Consensus
Introducing asymmetric Byzantine quorum systems, this work formally proves safety and liveness in networks where nodes choose their own trust sets.
Epidemic Consensus Achieves Leaderless Extreme-Scale Blockchain Decentralization
BECP introduces a leaderless, epidemic communication model for consensus, fundamentally solving the scalability-decentralization trade-off for extreme-scale networks.
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.
Post-Quantum Lattice Cryptography Secures Bitcoin against Future Quantum Threats
Integrating NIST ML-DSA signatures into Bitcoin's core protocol establishes a quantum-safe foundation, preempting the long-term threat to all digital assets.
Epidemic Consensus Protocol Unlocks Extreme-Scale Decentralization
A new consensus protocol leveraging epidemic-style communication eliminates fixed validators, achieving superior throughput and latency for extreme-scale networks.
Zero-Knowledge Proof of Training Secures Private Decentralized Federated Learning Consensus
ZKPoT introduces a zk-SNARK-based consensus mechanism that proves model accuracy without revealing private data, resolving the critical privacy-accuracy trade-off in decentralized AI.
Hierarchical Aggregate VRFs Decouple Consensus Scalability from Overhead
Introducing Hierarchical Aggregate Verifiable Random Functions (HAVRFs), a primitive that compresses multiple VRF proofs into a single, constant-size proof, enabling scalable and secure committee-based consensus.
