Efficient and Privacy Preserving Group Signature for Federated Learning. (arXiv:2207.05297v1 [cs.CR])

Federated Learning (FL) is a Machine Learning (ML) technique that aims to
reduce the threats to user data privacy. Training is done using the raw data on
the users' device, called clients, and only the training results, called
gradients, are sent to the server to be aggregated and generate an updated
model. However, we cannot assume that the server can be trusted with private
information, such as metadata related to the owner or source of the data. So,
hiding the …

federated learning privacy privacy preserving signature