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"PPFL: Privacy-preserving Federated Learning with Trusted Execution ..."

Fan Mo et al. (2021)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2021-05-04

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2104-14380
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2104-14380
Fan Mo, Hamed Haddadi, Kleomenis Katevas, Eduard Marin, Diego Perino, Nicolas Kourtellis:
PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments. CoRR abs/2104.14380 (2021)

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