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Google: “Federated learning”, Apple: “Differential privacy”

Google is using a strategy called “Federated Learning” to keep privacy sensitive data being used for AI purposes private. They basically download a preliminary model to the phone, modify the data with the observed behavior on the phone and upload the diffs back to Google Cloud, where they merge it to the existing data.

Apple uses “Differential Privacy“, where they add noise to the data so that observed privacy sensitive data observed in the cloud for one user may or may not be actually true, but individual noise contributions even out statistically over the whole data set.

Meanwhile, #neuland talks about Datenkraken and does… nothing?

Published inComputer ScienceDeutschlandNeuland

3 Comments

  1. Ralf Ertzinger

    Differential privacy is when the company gets to see your data, but you’re not getting to see the companies data, right?

    • kris kris

      Nope, that is aymmetric privacy.

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