YeeZTech/YeeZ-Privacy-Computing

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1057 stars · 137 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Fidelius is a privacy computing middleware built on Intel SGX trusted execution environments, enabling secure data collaboration where original data never leaves the data provider's enclave. It supports blockchain networks as trusted third parties for data transmission and computation verification.

Use cases

• compute on private data without exposing it
• secure multi-party data collaboration
• verify computation results on sensitive data
• run privacy-preserving analytics inside SGX enclaves
• use blockchain as a trusted channel for data exchange
• protect data availability while keeping it invisible

When to choose

• you need TEE-based privacy computing with Intel SGX hardware
• data providers must never release raw data to data users
• you want blockchain-backed verifiability of collaborative computations

When to avoid

• you lack SGX-capable CPUs and cannot use the debug mode
• you need a pure software MPC or homomorphic encryption solution
• you require a managed cloud service rather than self-hosted middleware

Facets

library · maturity active

security cryptography middleware machine-learning blockchain privacy security blockchain artificial-intelligence cpp self-hosted privacy-computing trusted-execution-environment sgx secure-enclave data-collaboration confidential-computing fidelius data-engineering linux

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