Zero-Knowledge Proofs Achieve Sublinear Memory Scaling for Ubiquitous Verification
Research introduces the first sublinear memory ZKP system, reducing prover memory from linear to square-root complexity, enabling verifiable computation on mobile devices.
Consensus-Integrated Proof of Useful Work Decentralizes Zero-Knowledge Proof Generation
A new consensus mechanism embeds general-purpose zk-SNARK computation as Proof of Useful Work, transforming block production into a decentralized verifiable computation marketplace.
Sublinear ZK Provers Democratize Verifiable Computation for All Devices
A streaming prover architecture reframes proof generation as tree evaluation, reducing ZKP memory from linear to square-root scaling for widespread adoption.
Sublinear Memory Zero-Knowledge Proofs Democratize Verifiable Computation for All Devices
Cryptographers achieved square-root memory scaling for ZKPs, solving the core resource bottleneck and enabling verifiable computation on mobile devices.
Constant-Size Zero-Knowledge Set Membership via OR-aggregation Secures IoT
This new OR-aggregation primitive achieves constant-size zero-knowledge set membership proofs, radically securing resource-constrained decentralized systems.
Zero-Knowledge Proofs Now Scale Square-Root Memory on Resource-Constrained Devices
A space-efficient tree algorithm cuts ZKP memory from linear to square-root complexity, democratizing verifiable computation on mobile and edge devices.
Sublinear Prover Space Unlocks Practical Zero-Knowledge Verifiable Computation
A novel cryptographic equivalence reframes ZKP generation as a Tree Evaluation problem, quadratically reducing prover memory for constrained devices.
Sublinear Zero-Knowledge Proofs Democratize Verifiable Computation and Privacy
Sublinear memory scaling for ZKPs breaks the computation size bottleneck, enabling universal verifiable privacy on resource-constrained devices.
Sublinear Zero-Knowledge Proofs Democratize Verifiable Computation on Edge Devices
Researchers solved the ZKP memory bottleneck, achieving square-root space complexity to enable large-scale, private computation on all devices.
