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Towards Achieving Near-optimal Utility for Privacy-Preserving Federated Learning via Data Generation and Parameter Distortion.
Xiaojin Zhang
Kai Chen
Qiang Yang
Published in:
CoRR (2023)
Keyphrases
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privacy preserving
data generation
learning algorithm
learning process
privacy preservation
active learning
supervised learning
differential privacy
privacy requirements
unsupervised learning
privacy concerns
multi party
privacy preserving data mining
data privacy
private data
horizontally partitioned data