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Research Paper | Computer Science & Engineering | India | Volume 12 Issue 12, December 2023

Unifying Intelligence: Federated Learning in Cloud Environments for Decentralized Machine Learning

Dr. Angajala Srinivasa Rao

Abstract: 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.

Keywords: Federated Learning, Cloud Computing, Decentralized Model Training, Privacy-Preserving Techniques, Machine Learning, Edge Computing, Data Privacy, Communication Overhead, Security,, Real-world Applications, Case Studies, Observational Studies

Edition: Volume 12 Issue 12, December 2023,

Pages: 997 - 999