ZK Proof of Training Secures Private Federated Learning Consensus
ZKPoT uses zk-SNARKs to verify model contributions without revealing data, solving the privacy-efficiency trade-off for decentralized AI.
Zero-Knowledge Proof of Training Secures Private Decentralized Federated Learning
ZKPoT consensus verifiably proves model contribution quality via zk-SNARKs, fundamentally securing private, scalable decentralized AI.
Expander Signatures Enable Efficient Constant-Size Verification on Resource-Limited Devices
Expander Signature decouples heavy key generation from verification, enabling resource-limited devices to achieve constant-size, efficient, and forward-secure authentication.
Zero-Knowledge Proof of Training Secures Private Federated Consensus
A novel Zero-Knowledge Proof of Training (ZKPoT) mechanism leverages zk-SNARKs to validate machine learning contributions privately, enabling a scalable, decentralized AI framework.
Léonne: Topological Consensus Networks Solve Blockchain Trilemma with Quantum Security
Léonne's topological consensus and quantum randomness enable scalable, secure, and decentralized blockchains by leveraging trust dynamics.
Distributed Cryptographic Accumulators Revolutionize Certificate Revocation Efficiency
AccuRevoke introduces a novel distributed cryptographic accumulator scheme, significantly reducing certificate revocation proof sizes and enhancing PKI scalability and privacy.
