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"Inverting Gradients - How easy is it to break privacy in federated learning?"

Jonas Geiping et al. (2020)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2021-01-19

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  - electronic edition @ neurips.cc (open access)
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  dblp key:
  - conf/nips/GeipingBD020
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  persistent URL:
  - https://dblp.org/rec/conf/nips/GeipingBD020
Jonas Geiping, Hartmut Bauermeister, Hannah Dröge, Michael Moeller:
Inverting Gradients - How easy is it to break privacy in federated learning? NeurIPS 2020

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