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Model Fragmentation, Shuffle and Aggregation to Mitigate Model Inversion in Federated Learning.
Hiroki Masuda
Kentaro Kita
Yuki Koizumi
Junji Takemasa
Toru Hasegawa
Published in:
LANMAN (2021)
Keyphrases
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computational model
high level
formal model
image sequences
theoretical framework
mathematical model
learning models
data sets
machine learning
learning algorithm
multi agent
learning process
probabilistic model
least squares
prediction model
learning phase