Internet of Thing Ecosystem

The Internet of Things (IoT) ecosystem encompasses billions of interconnected devices generating massive amounts of data, posing challenges and opportunities for intelligent data processing and decision-making. Current research focuses on developing robust and efficient machine learning models, including transformer-based architectures and federated learning, to address security concerns, improve data analysis from diverse sensor modalities, and optimize resource utilization in resource-constrained environments. This work is significant for enhancing the security, reliability, and efficiency of IoT applications across various sectors, from smart cities and industrial automation to healthcare and environmental monitoring.