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"Model Fragmentation, Shuffle and Aggregation to Mitigate Model Inversion ..."
Hiroki Masuda et al. (2021)
- 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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