Unifying Intelligence: Federated Learning in Cloud Environments for Decentralized Machine Learning
Angajala Srinivasa Rao · International Journal of Science and Research (IJSR) · 2023
The rapid growth of data generation and the increasing demand for machine learning models have given rise to novel approaches in the realm of distributed computing.Federated Learning, as a paradigm, allows machine learning models to be trained across decentralized data sources, paving the way for enhanced privacy, efficiency, and scalability.This rsearch-oriented descriptive article explores the implementation of Federated Learning techniques in cloud environments, unraveling the intricacies of decentralized model training, addressing challenges, and examining real-world applications.Keywords, relevant studies, and references are provided to offer a comprehensive resource for researchers and practitioners in the field.