Gevulot Docs
  • Introduction
  • Firestarter
    • Overview
    • Get Started
      • Create Account
      • Purchase Credits
    • Run Workloads
      • Tasks
      • Workflows
    • Deploy Provers
      • Prover Packaging
      • Prover Deployment
    • RPC API
      • gRPC
      • gevulot-rs
    • Integrations
      • Zk Stack
      • Polygon CDK
      • Scroll SDK
    • Pricing
    • Firestarter AI
    • Firestarter Explorer
  • ZkCloud Design
    • Overview
    • Prover/Verifier Programs
    • Proving Workloads
    • Network Actors
    • Economics
    • Execution Guarantees
  • Usecases
    • Validity Rollups
    • Proof Aggregation
    • ZkVMs
    • Bridges
    • Verifiable RPC
    • ZkML
    • ZkFHE
    • ZK Coprocessors
  • Misc
    • FAQ
    • Website
    • Github
    • Twitter
    • Blog
    • Telegram
Powered by GitBook
On this page
  1. Usecases

ZkFHE

Fully Homomorphic Encryption allows for computing on encrypted data, without revealing the underlying data. Recently there has been increased exploration into utilizing zero-knowledge proofs for proving the computations performed on the cyphertext. This is a great use case for ZkCloud. A user encrypts the data, passes it as an input to a prover program, which runs some computation on the encrypted data and then returns a proof.

PreviousZkMLNextZK Coprocessors

Last updated 5 months ago