|
|
|
Haokun Fang and Quan Qian
Privacy protection has been an important concern with the great success of machine learning. In this paper, it proposes a multi-party privacy preserving machine learning framework, named PFMLP, based on partially homomorphic encryption and federated lear...
ver más
|
|
|