Fog and Edge Computing: Bridging the Gap Between Cloud and IoT

Internet of Things IoT devices produce huge difficulties in data management along with latency and bandwidth requirements and it applies to the ket growth of them. On the other hand, Federated Learning has proven to be an important AI technique that is capable of untrusted model training every IoT point distributed. Docker containerization system helps in the deployment and scalability within the Fog and Edge Computing environments and it is best suited to do that. Combining Federated Learning with Docker makes use of data processing operations at the IoT endpoint locations which provides speedier performance, better security and network performance. The integration allows bringing together Cloud Computing and IoT systems, providing data exchange between them for improving both real time analytics performance and distributed network decision making performance.