Decentralized Intelligence in Smart Industry: Federated Learning for Enhanced Manufacturing

FL is transforming how AI integrates with IoT technologies, offering a new way to handle data in various domains. In smart cities, FL empowers a range of applications, from traffic management to energy distribution, by allowing devices to learn and improve locally without sharing raw data. Decentralization boosts privacy, speeds up responses, and improves urban service efficiency. In the realm of smart industries, FL is making a significant impact on manufacturing processes and robotics. By enabling local training of AI models and aggregating them centrally, FL helps preserve privacy while optimizing performance. It addresses challenges related to communication overhead and resource management, particularly in industrial edge IoT networks. Real-world implementations, such as smart home systems and industrial testbeds, highlight FL’s practicality and its ability to provide secure and efficient solutions. Additionally, FL is proving valuable in cyber systems like smart agriculture and logistics, as well as healthcare, where it ensures privacy while effectively managing sensitive data.