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@octomil

OctoMil

On-device ML. Train together, keep data apart.

Octomil

Run and train ML on any device.

Unified platform for on-device inference and training — iOS, Android, browser, and local. Data never leaves the edge.

curl -fsSL https://octomil.com/install.sh | sh
octomil pull mnist-classifier
octomil serve mnist-classifier

What we build

  • Cross-platform SDKs — Python, iOS (Swift + CoreML), Android (Kotlin + TFLite), Browser
  • Orchestration server — manages devices, training rounds, model aggregation, deployments
  • Dashboard — real-time monitoring of devices, rounds, model versions, experiments
  • Federated learning — 9 aggregation strategies, privacy-preserving, data stays on-device

Repos

Repo Description
octomil-python Python SDK & CLI
octomil-ios iOS SDK (Swift + CoreML)
octomil-android Android SDK (Kotlin + TFLite)

Links

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  1. octomil-python octomil-python Public

    EdgeML Python SDK - Federated Learning Orchestration

    Python

  2. octomil-android octomil-android Public

    EdgeML Android SDK - Federated Learning for Android

    Kotlin

  3. octomil-ios octomil-ios Public

    EdgeML iOS SDK - Federated Learning for iPhone & iPad

    Swift

Repositories

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