Boundless Mainnet Activates Proof of Verifiable Work for Scalability
Boundless pioneers verifiable computation as a scalable, universal protocol for decentralized application architectures.
XDC Integrates Orochi Zkdatabase for Verifiable RWA Data Integrity
This integration deploys cryptographically verifiable Proof-Carrying Data to secure Real-World Assets, drastically lowering data integrity costs and enhancing trust.
ZKPoT: Private, Efficient Consensus for Federated Learning Blockchains
A novel Zero-Knowledge Proof of Training consensus validates federated learning contributions privately, overcoming traditional blockchain inefficiencies and privacy risks.
ZKsync Elevates Ethereum Scalability with Zero-Knowledge Rollup Architecture
ZKsync implements a ZK-Rollup Layer 2 architecture, offloading transaction execution to enhance Ethereum's throughput and reduce computational overhead.
Verifiable Delay Functions: Cryptographic Sequentiality for Decentralized Systems
A novel cryptographic primitive, Verifiable Delay Functions, introduces guaranteed sequential computation, enabling trustless time-based operations in decentralized networks.
Data Availability Sampling Secures Light Clients and Scales Blockchains
A novel proof system combines fraud and data availability proofs, enabling scalable blockchains with robust light client security and reduced reliance on honest majorities.
Verkle Trees: Efficient State Commitment for Stateless Blockchain Verification
Verkle trees leverage vector commitments to dramatically shrink blockchain state proofs, enabling stateless client verification and enhancing network scalability.
Verifiable Work Redefines Blockchain Incentives and Scalability
A new consensus mechanism transforms blockchain economics by rewarding useful computation, enabling internet-scale verifiable applications.
ZKPoT Secures Federated Learning Consensus with Zero-Knowledge Proofs
A novel Zero-Knowledge Proof of Training (ZKPoT) consensus mechanism validates federated learning contributions privately, mitigating privacy risks and inefficiencies.
