13 citations · 24 across the 4 of their papers we have counts for
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cs.CR2021★ 13 cited
A Novel Attribute Reconstruction Attack in Federated Learning
Lingjuan Lyu, Chen Chen
Federated learning (FL) emerged as a promising learning paradigm to enable a multitude of participants to construct a joint ML model without exposing their private training data. E…
cs.CR2020★ 4 cited
PrivColl: Practical Privacy-Preserving Collaborative Machine Learning
Yanjun Zhang, Guangdong Bai, Xue Li +3
Collaborative learning enables two or more participants, each with their own training dataset, to collaboratively learn a joint model. It is desirable that the collaboration should…