PiMZ
PiMZ is an open‑source framework that was developed to facilitate the secure and efficient manipulation of large scientific datasets. The name stands for “Privacy‑preserving Machine‑Learning Zoo,” reflecting its dual focus on machine‑learning workflows and privacy‑by‑design principles. It was first introduced in 2019 by researchers at the University of Heidelberg and is distributed under a BSD‑3 license.
The original PiMZ release incorporated a modular architecture built on top of Python and Kubernetes, allowing
Technically, PiMZ exposes a set of core services: a data ingestion layer that synchronizes data from local
PiMZ has been adopted by several research labs studying sensitive biomedical data and by small enterprises