FL-SQMPC: Secure Quantized Aggregation for Mitigating Gradient Inversion Attacks in Federated IoT Intrusion Detection
Federated Learning (FL) enables collaborative model training without centralizing raw data, but the exchange of model updates exposes clients to gradient inversion attacks (GIAs), which can reconstruct private training data from communicated gradients alone. To address this issue, we propose FL-SQMPC, a secure aggregat...