M. de Arruda Botelho Herr et al., "Bringing the Algorithms to the Data -- Secure Distributed Medical Analytics using the Personal Health Train (PHT-meDIC)"¹

The need for data privacy and security -- enforced through increasingly strict data protection regulations -- renders the use of healthcare data for machine learning difficult. In particular, the transfer of data between different hospitals is often not permissible and thus cross-site pooling of data not an option. The Personal Health Train (PHT) paradigm proposed within the GO-FAIR initiative implements an 'algorithm to the data' paradigm that ensures that distributed data can be accessed for analysis without transferring any sensitive data. We present PHT-meDIC, a productively deployed open-source implementation of the PHT concept. Containerization allows us to easily deploy even complex data analysis pipelines (e.g, genomics, image analysis) across multiple sites in a secure and scalable manner. We discuss the underlying technological concepts, security models, and governance processes. The implementation has been successfully applied to distributed analyses of large-scale data, including applications of deep neural networks to medical image data.

#arXiv #ResearchPapers #MedicalData #privacy4

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¹ https://arxiv.org/abs/2212.03481

44 bits

So, a redditor tracked down the location of a monolith placed in the Utah desert a few years ago, recently discovered by authorities, who did not disclose where it was.[1]

It's relatively well known that 33 distinct bits is enough to uniquely identify any individual person now alive on Earth.[2]

Geospatially, assuming 10m² resolution, 44 bits is enough to identify any unique region on Earth's land surface (46 bits buys you the oceans).

Searching for a ~1m² monolith visually within a 10m² square is reasonable.

GNU units:

You have: ln((.3 * 4 * (earthradius^2) * pi)/10m^2)/ln(2)
        Definition: 43.798784
You have: ln((1 * 4 * (earthradius^2) * pi)/10m^2)/ln(2)
        Definition: 45.535749

49 bits buys 1m accuracy, 63 1cm, 69 1mm. Anywhere on Earth, land or sea.

For comparison, cellphone positioning accuracy is typically 8--600m:

• 3G iPhone w/ A-GPS ~ 8 meters
• 3G iPhone w/ wifi ~ 74 meters
• 3G iPhone w/ Cellular positioning ~ 600 meters

https://communityhealthmaps.nlm.nih.gov/2014/07/07/how-accurate-is-the-gps-on-my-smart-phone-part-2/

https://www.gps.gov/systems/gps/performance/accuracy/

The power of disparate data traces to rapidly narrow down search spaces on a specific item, individual, or location, is what makes #BigData aggreggation so powerful, and terrifying.

Notes:

1. https://old.reddit.com/r/geoguessr/comments/jzw628/help_me_find_this_obelisk_in_remote_utah/gdfbzee/ https://news.ycombinator.com/item?id=25199879

2. https://web.archive.org/web/20160304012305/33bits.org/about/

#privacy4 #location #33bits #44bits #data #deanonimization #DataAreLiability #surveillance #SurveillanceState #SurveillanceCapitalism