A Robust Privacy-Preserving Federated Learning Model Against Model Poisoning Attacks

Although federated learning offers a level of privacy by aggregating user data without direct access, it remains inherently vulnerable to various attacks, including poisoning attacks where malicious actors submit gradients that reduce model accuracy. In addressing model poisoning attacks, existing d... View More