Abstract: A system for training a model using federated learning is provided. The system includes a server, and a plurality of vehicles. Each of the vehicles includes a controller programmed to: transmit first knowledge data including information about a plurality of feature vectors and information about a plurality of predictions, receive first aggregated knowledge from the server, and train a local model based on the first aggregated knowledge. The server averages the first knowledge data received from the plurality of vehicles to generate the aggregated knowledge.

Abstract: A flashlight including a lens assembly having an adjusting element; and a light source assembly provided at one side of the lens assembly. The light source assembly includes a first light source, a second light source, an excitation element, and a light path adjusting element. Light emitted from the first light source irradiates the excitation element to generate first exciting light, and light emitted from the second light source irradiates the excitation element to generate second exciting light. The first exciting light and the second exciting light sequentially pass through the light path adjusting element and the adjusting element, and are outputted simultaneously.