Roadmap

We are making ongoing enhancements to elevate FHLE.
Here is where they come true.

Active

  • Custom Encryption Depth

    Additional optimizations for specific scenarios.

  • Multi-Party Computation

    Secure computation across datasets from multiple parties without sharing raw data.

  • Hardware Enclave Integration

    Integrate FHLE with trusted hardware environments like Intel SGX.

  • Automated Pipeline Triggering

    Linking encrypted computation results to downstream biz apps, while reducing latency.

Planned

  • Zero-Knowledge Proofs

  • Federated Learning Models

    Allow encrypted machine learning models to train iteratively across fragmented datasets.

Completed

  • Registered for Conrad Challenge 2024

    Lean Canvas Completed