*Result*: New Self-Driving Cars Study Results Reported from Zhengzhou Normal University (Data Poisoning Attacks With Hybrid Particle Swarm Optimization Algorithms Against Federated Learning in Connected and Autonomous Vehicles).

*A new report from Zhengzhou Normal University in China discusses the use of federated learning in connected and autonomous vehicles (CAVs). Federated learning is a distributed learning approach where models are trained locally and only model parameters are exchanged to create a global model. However, the distributed nature of federated learning makes it vulnerable to poisoning attacks, which can compromise the integrity of the trained model. The report proposes two novel optimization-based attacking methods using particle swarm optimization algorithms, which significantly downgrade the prediction accuracy of the global model even with a small portion of poisoned data. The research focuses on traffic sign recognition systems in CAVs. [Extracted from the article]*