DeTrigger: A Gradient-Centric Approach to Backdoor Attack Mitigation in
Federated Learning
DeTrigger: A Gradient-Centric Approach to Backdoor Attack Mitigation in
Federated Learning
Federated Learning (FL) enables collaborative model training across distributed devices while preserving local data privacy, making it ideal for mobile and embedded systems. However, the decentralized nature of FL also opens vulnerabilities to model poisoning attacks, particularly backdoor attacks, where adversaries implant trigger patterns to manipulate model predictions. In this …