Explore the innovative ZEXE system for enabling decentralized private computation in this 54-minute lecture by Pratyush Mishra from UC Berkeley. Delve into the challenges of computing on distributed ledgers, focusing on scalability and privacy issues. Learn how ZEXE allows users to conduct offline computations and publish transactions about them, addressing limitations in decentralized exchanges (DEXs). Examine concepts such as private user-defined assets, custom access controls, and private atomic swaps. Investigate the privacy leakage in index-based DEXs and discover how ZEXE supports arbitrary data and computation. Gain insights into birth predicates and their role in this groundbreaking approach to blockchain technology and its societal applications.
Zexe- Enabling Decentralized Private Computation
Overview
Syllabus
Intro
Computing on distributed ledgers
Scalability and privacy issues Scalability
This work: ZEXE A ledger-based system that enables users to conduct Offline computations and then publish transactions about these
Trading digital assets
Limitations of DEXs
Private user-defined assets
Custom access to user-defined assets
Private atomic swaps
Index-based DEX Index
Privacy Leakage
Private Index-based DEX
Supporting arbitrary data and computation
Birth predicates
Taught by
Simons Institute
