Zero-Knowledge Proof of Training Secures Decentralized AI Consensus
A new Zero-Knowledge Proof of Training (ZKPoT) consensus mechanism leverages zk-SNARKs to cryptographically verify model performance, eliminating Proof-of-Stake centralization and preserving data privacy in decentralized machine learning.
Secure Multi-Party Computation Enables Private Collaborative Data Processing
Secure Multi-Party Computation enables joint function computation on private data, fostering privacy and collaboration across decentralized systems and sensitive applications.
