"Privacy Preserving Federated Learning with Convolutional Variational ..."

Daniel Scheliga, Patrick Mäder, Marco Seeland (2023)

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DOI: 10.48550/ARXIV.2309.04515

access: open

type: Informal or Other Publication

metadata version: 2023-09-15

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  - https://dblp.org/rec/journals/corr/abs-2309-04515
Daniel Scheliga, Patrick Mäder, Marco Seeland:
Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks. CoRR abs/2309.04515 (2023)

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