Expander Signatures Enable Efficient Verification on Resource-Limited Devices
This new cryptographic primitive decouples intensive signature generation from constant-size verification, securing resource-constrained blockchain participation.
Zero-Knowledge Proof of Training Secures Decentralized Federated Learning Consensus
ZKPoT uses zk-SNARKs to verify decentralized model accuracy without revealing private data, solving the efficiency-privacy trade-off in federated learning.
Verkle Trees: Bandwidth-Efficient Authenticated Data Structures for Scalable Blockchains
Verkle Trees introduce vector commitments into Merkle-like structures, drastically reducing proof sizes for efficient blockchain state verification and enabling scalable stateless clients.
Scalable Zero-Knowledge Proofs Enhance Blockchain Hashing Verification
This research introduces a novel methodology leveraging Plonky2 to achieve efficient, scalable zero-knowledge proofs for cryptographic hashing, critical for blockchain integrity.
Distributed SNARKs Achieve Scalable Proof Generation with Novel Folding Schemes
A new distributed SNARK system leverages folding schemes to drastically accelerate proof generation for large circuits, enhancing blockchain scalability.
Adaptive Tree Restructuring Enhances Blockchain Scalability and Efficiency
This research introduces adaptive Merkle and Verkle tree restructuring, fundamentally optimizing blockchain data structures for improved scalability and reduced verification overhead.
