2024
Mitigating Data Injection Attacks on Federated Learning
ICASSP 2024accepted
Federated learning is a technique that allows multiple entities to collaboratively train models using their data without compromising data privacy. However, despite its advantages, federated learning can be susceptible to false data injection attacks. In these scenarios, a malicious entity with cont…