Epidemic Consensus Protocol Scales Decentralized Blockchains to Extreme Limits
A novel Blockchain Epidemic Consensus Protocol enhances scalability and efficiency for extreme-scale decentralized networks, surpassing traditional and modern algorithms.
ZKPoT: Private, Scalable Consensus for Blockchain-Secured Federated Learning
A novel Zero-Knowledge Proof of Training (ZKPoT) consensus mechanism uses zk-SNARKs to validate federated learning contributions privately and efficiently, advancing secure decentralized AI.
Formalizing MEV: Rigorous Model for Provably Secure Blockchain Architectures
This research introduces a formal, abstract model for Maximal Extractable Value, enabling systematic analysis and the development of provably secure blockchain protocols.
Mechanism Design Enhances Blockchain Consensus Truthfulness and Scalability
This research introduces novel mechanism design principles to fortify blockchain consensus, ensuring truthful block proposals and mitigating fork-related coordination failures.
Zero-Knowledge Mechanisms Enable Private, Verifiable Mechanism Design
This research introduces a framework for privately committing to and executing economic mechanisms, leveraging zero-knowledge proofs to ensure verifiability without revealing sensitive rules or data, fostering trustless interactions.
Zero-Knowledge Mechanisms: Commitment without Disclosure
A novel framework leverages zero-knowledge proofs to enable verifiable, private execution of economic mechanisms without revealing their underlying rules or requiring trusted intermediaries.
Zero-Knowledge Mechanisms Enable Private, Verifiable Mechanism Design without Mediators
This research introduces a cryptographic framework allowing economic mechanisms to operate with verifiable integrity while preserving designer privacy, eliminating trusted intermediaries.
V-ZOR: Quantum-Driven ZKP Oracle Relays for Verifiable Cross-Chain Communication
A novel verifiable oracle relay, V-ZOR, integrates zero-knowledge proofs and restaking to secure cross-chain data, mitigating over $2.8 billion in risks.
Batch Processing Eliminates MEV in Automated Market Makers
This research introduces a novel batch-processing mechanism for Automated Market Makers, fundamentally mitigating Miner Extractable Value and fostering equitable transaction execution.
