Optimal Prover Time Unlocks Succinct Zero-Knowledge Proof Scalability
This breakthrough ZKP system achieves optimal linear prover time alongside succinct verification, resolving the fundamental trade-off between computational cost and proof size.
zkVC Optimizes Zero-Knowledge Proofs for Fast Verifiable Machine Learning
zkVC introduces Constraint-reduced Polynomial Circuits to optimize zkSNARKs for matrix multiplication, achieving a 12x speedup for private verifiable AI.
Constant-Time Polynomial Commitment Unlocks Scalable ZK-SNARK Verification
This new Hyper-Efficient Polynomial Commitment scheme achieves constant-time verification, eliminating the primary bottleneck for on-chain zero-knowledge proof scalability.
Decoupling BFT Consensus Pacing from Data Dissemination Achieves Optimal Performance
Angelfish introduces a Leader-DAG spectrum consensus, achieving the theoretical optimal latency of leader-based BFT with the peak throughput of DAG protocols.
