Recent research in federated cloud computing focuses on integrating distributed cloud infrastructures to enable resource sharing, interoperability, and collaborative computing across multiple cloud providers while ensuring data privacy and security. Studies propose architectures that combine federated learning, blockchain, and AI-driven orchestration to optimize workload distribution, data management, and service composition in heterogeneous cloud environments. These approaches aim to enhance scalability, reduce latency, and improve trust among federated entities through decentralized coordination and privacy-preserving mechanisms. By enabling seamless cooperation between independent clouds, federated cloud computing paves the way for intelligent, secure, and efficient multi-cloud ecosystems.