Federated Learning Approach for Analyzing Electric Vehicle Sales in the Indian Automobile Market

A Business is an entity that involves in generating revenue by providing goods or services to the customers. It can be an organization or an individual, buys raw materials, add values to it or simply sells the product in the market with a view to gain revenue. The growth of a nation depends on many factors such as Gross Domestic Product (GDP), import, export, inflation, human capital, healthcare, infrastructure, good Governance and trade openness. But for all the above factors, one generic term that serves as a brain for all the activities in a nation is 'Business'. Now-a-days, due to climate change and carbon emission concerns, world leaders shifted their focus towards sustainable and pollution free operations. One such a business that kick-started and increasingly popular among the public in recent times is the use of Electric Vehicles (EV). In every business vertical, Artificial Intelligence (AI) and its subsidiaries are finding their place, rolling out a new pathway for the growth of the business. Federated learning is a machine learning (ML) approach where multiple parties train a shared model collaboratively while keeping their individual data on their local devices. In this paper, we propose a federated learning framework for analysing the EV sales in the automobile market. The proposed framework utilizes data from multiple sources, such as car manufacturers, charging station operators, and government agencies. The data is kept on the local devices of the parties and is not shared with the central server. The framework uses a federated averaging algorithm to train a global model that can be used to analyse the EV sales. The proposed framework can be used to improve the accuracy of EV sales analysis while protecting the privacy of the data. This can be beneficial to the allied EV businesses such as EV component manufacturers, charging station operators and government agencies who need to make informed decisions about the EV market.