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Abstract
Android's Private Compute Core (PCC) is a secure, isolated environment within
the operating system, that maintains separation from apps while enabling users
and developers to maintain control over their data. It is backed by open-source
code in the Android Framework introduced in Android 12. PCC allows features to
communicate with a server to receive model updates and contribute to global
model training through Private Compute Services (PCS), the core of which has
been open sourced. PCC is part of the OS, and by virtue of being isolated,
constrained, and trusted, it can host sophisticated ML features. The hosted
features themselves, running inside PCC, can be closed source and updatable. In
this way, PCC enables machine learning features to process ambient and OS-level
data and improve over time, while restricting the availability of information
about individual users to servers or apps.