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Concealing Samples in FL
Concealing Sensitive Samples against Gradient Leakage in Federated Learning
A novel approach that can significantly increase the difficulty of understanding the model information for human and automatic tools. It will not affect the model performance and only introduce small overheads.
Jing Wu
,
Munawar Hayat
,
Mingyi Zhou
,
Mehrtash Harandi
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