"Fed-GLOSS-DP: Federated, Global Learning using Synthetic Sets with Record ..."

Hui-Po Wang et al. (2023)

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DOI: 10.48550/ARXIV.2302.01068

access: open

type: Informal or Other Publication

metadata version: 2023-02-09

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  - journals/corr/abs-2302-01068
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  - https://dblp.org/rec/journals/corr/abs-2302-01068
Hui-Po Wang, Dingfan Chen, Raouf Kerkouche, Mario Fritz:
Fed-GLOSS-DP: Federated, Global Learning using Synthetic Sets with Record Level Differential Privacy. CoRR abs/2302.01068 (2023)

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