Problem statement
Compromised hospitals may submit abnormal updates that degrade the global model while appearing to participate normally.
Objective
Develop a lightweight detector using update magnitude, similarity or clustering to identify malicious participants in an FL prototype.
Student focus
- Federated learning
- Attacks/defenses
- Healthcare simulation