Making federated learning robust to adversarial attacks by learning data and model association

A Qayyum, MU Janjua, J Qadir - Computers & Security, 2022 - Elsevier
One of the key challenges in federated learning (FL) is the detection of malicious parameter
updates. In a typical FL setup, the presence of malicious client (s) can potentially demolish …
被引用次数：20 相关文章

Making federated learning robust to adversarial attacks by learning data and model association

A Qayyum, MU Janjua, J Qadir - 2022 - dl.acm.org
One of the key challenges in federated learning (FL) is the detection of malicious parameter
updates. In a typical FL setup, the presence of malicious client (s) can potentially demolish …

Making federated learning robust to adversarial attacks by learning data and model association

A Qayyum, MU Janjua, J Qadir - 2022 - qspace.qu.edu.qa
One of the key challenges in federated learning (FL) is the detection of malicious parameter
updates. In a typical FL setup, the presence of malicious client (s) can potentially demolish …

Making federated learning robust to adversarial attacks by learning data and model association

A Qayyum, MU Janjua, J Qadir - 2022 - qspace.qu.edu.qa
One of the key challenges in federated learning (FL) is the detection of malicious parameter
updates. In a typical FL setup, the presence of malicious client (s) can potentially demolish …