Zero-Knowledge Commitment Secures Private Mechanism Design and Verifiable Incentives
Cryptographic proofs enable a party to commit to a hidden mechanism while verifiably guaranteeing its incentive properties, eliminating trusted mediators.
Zero-Knowledge Proof of Training Secures Decentralized Federated Learning
ZKPoT consensus uses zk-SNARKs to verify machine learning contributions privately, resolving the privacy-verifiability trade-off for decentralized AI.
