"Model Fragmentation, Shuffle and Aggregation to Mitigate Model Inversion ..."

Hiroki Masuda et al. (2021)

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DOI: 10.1109/LANMAN52105.2021.9478813

access: closed

type: Conference or Workshop Paper

metadata version: 2021-07-23

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Hiroki Masuda, Kentaro Kita, Yuki Koizumi, Junji Takemasa, Toru Hasegawa:
Model Fragmentation, Shuffle and Aggregation to Mitigate Model Inversion in Federated Learning. LANMAN 2021: 1-6

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