A hybrid privacy-preserving algorithm combining Pre-Aggregation Similarity Measurement (PA-SM) and Differential Privacy (DP) enhances the security and resilience of Federated Learning (FL) in Intelligent Transportation Systems (ITS) by defending against adversarial attacks while maintaining model performance.
