Artificial Intelligence is the technology behind self-driving cars, and it has already walked in our lives in ways that many of us are unaware of. The necessity to protect clients' privacy becomes a concern as a result of this stealthy assault. Federated Learning is a machine learning setting with the goal of preserving data privacy and ensuring data security. This scenario involves training statistical models on remote devices such as self-driving cars while keeping data localized. A central server aggregates the parameters from each local training client using a predefined algorithm, without having direct access to their data, which can be sensitive such as car routes.