In an age of urbanization and technology, smart cities may address urban problems. Smart city infrastructure incorporates advanced federated learning. Federated learning may transform smart city infrastructure, claims a report. Edge devices may train models jointly using federated learning to protect data. Federated learning keeps data local, boosting privacy and security over centralized systems. Federated learning helps smart city stakeholders analyze massive heterogeneous data without sacrificing privacy. Smart cities use local data live with federated learning. Smart cities use federated learning algorithms and sensor and IoT device model training to make fast decisions and respond to dynamic urban environments. Network congestion, data bottlenecks, and server transmission delays are reduced by this distributed method. Federated learning customizes smart city services and experiences. By training …