Malicious code within model detection method based on model similarity
The privacy of user data in federated learning is mainly protected by exchanging model parameters instead of source data.However, federated learning still encounters many security challenges.Extensive Wall Art research has been conducted to enhance model privacy and detect malicious model attacks.Nevertheless, the issue of risk-spreading through ma