Deep leakage from gradients. (arXiv:2301.02621v1 [cs.CR])

With the development of artificial intelligence technology, Federated
Learning (FL) model has been widely used in many industries for its high
efficiency and confidentiality. Some researchers have explored its
confidentiality and designed some algorithms to attack training data sets, but
these algorithms all have their own limitations. Therefore, most people still
believe that local machine learning gradient information is safe and reliable.
In this paper, an algorithm based on gradient features is designed to attack
the federated learning model in …

algorithm algorithms artificial artificial intelligence attack confidentiality data data sets development efficiency features federated learning high information intelligence local machine machine learning own people researchers safe technology training