FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation.
This article proposes a novel adaptive obfuscation mechanism, coined FedAdOb, to protect private data without yielding original model performances, and utilizes passport-based adaptive obfuscation to ensure data privacy in both horizontal and vertical federated learning settings.