Zero Knowledge Protocol Launches Layer One Infrastructure for Proof Economy
This privacy-first Layer 1, utilizing a knowledge auction model, unlocks the institutional capital bottleneck by enabling confidential on-chain finance.
Optimizing ZK-SNARKs by Minimizing Expensive Cryptographic Group Elements
Polymath redesigns zk-SNARKs by shifting proof composition from $mathbb{G}_2$ to $mathbb{G}_1$ elements, significantly reducing practical proof size and on-chain cost.
Zero-Knowledge Proof of Training Secures Private Decentralized AI Consensus
ZKPoT, a novel zk-SNARK-based consensus, cryptographically validates decentralized AI model contributions, eliminating privacy risks and scaling efficiency.
Distributed Verifiable Randomness Secures Consensus and On-Chain Fairness
A Distributed Verifiable Random Function, built with threshold cryptography and zk-SNARKs, creates a publicly-verifiable, un-biasable randomness primitive essential for secure leader election and MEV mitigation.
Zero-Knowledge Proof of Training Secures Federated Consensus
The Zero-Knowledge Proof of Training consensus mechanism uses zk-SNARKs to prove model performance without revealing private data, solving the privacy-utility conflict in decentralized computation.
Zero-Knowledge Proofs: Advancing Digital Privacy and Verifiable Computation
Zero-knowledge proofs fundamentally enable verifiable computation without revealing underlying data, unlocking unprecedented privacy and scalability across digital systems.
ZKPoT: Private, Efficient Consensus for Federated Blockchain Learning
A novel Zero-Knowledge Proof of Training consensus mechanism secures federated learning, validating model contributions privately and efficiently on blockchains.
Ligetron: Scalable, Post-Quantum, Memory-Efficient Zero-Knowledge Proofs for Web Applications
This research introduces Ligetron, a novel zero-knowledge proof system that leverages WebAssembly semantics to achieve sublinear memory usage and post-quantum security, enabling scalable verifiable computation on commodity hardware and browsers.
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.
