Georgios Kaissis

Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning

2022 · arXiv (Cornell University)

Normalization is an important but understudied challenge in privacy-related application domains such as federated learning (FL), differential privacy (DP), and differentially private federated learning (DP-FL). While the unsuitability of batch normalization for these domains has …