Pianist: Scalable zkRollups via Fully Distributed Zero-Knowledge Proofs
Tianyi Liu, Tiancheng Xie, Jiaheng Zhang, Dawn Song, Yupeng Zhang
IEEE Symposium on Security and Privacy 2024 · Day 2 · Continental Ballroom 6
The presented work, "Pianist: Scalable zkRollups via Fully Distributed Zero-Knowledge Proofs," introduces a novel framework for significantly enhancing the scalability and efficiency of zero-knowledge proof (ZKP) generation, particularly for applications like **ZK-Rollups** and **ZK-EVMs** on blockchains. Given by Tianyi Liu and his co-authors Tiancheng Xie, Jiaheng Zhang, Dawn Song, and Yupeng Zhang, this research addresses a critical bottleneck in the widespread adoption of ZKP technologies: the substantial computational and memory costs associated with generating proofs for large-scale arithmetic circuits.
AI review
This paper presents a groundbreaking distributed ZKP protocol, "Pianist," that addresses a critical scalability bottleneck in ZK-Rollups and ZK-EVMs. By achieving constant communication complexity and bypassing distributed NTT in a Plonk variant, it makes large-scale ZKP generation practical and robust. This research is a game-changer for blockchain scalability and privacy.