Federated Learning: Decentralized Data Privacy in Machine Learning

In recent years, machine learning (ML) has become integral to numerous industries, from healthcare and finance to retail and transportation. The rise of ML has been fueled by the availability of large datasets and the computational power to process them. However, as more data is generated and collected, concerns around data privacy and security have […] The post Federated Learning: Decentralized…